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| Author | SHA1 | Date | |
|---|---|---|---|
 kl3z00
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||||
# Editor configuration, see https://editorconfig.org
|
||||
root = true
|
||||
|
||||
[*]
|
||||
charset = utf-8
|
||||
indent_style = space
|
||||
indent_size = 2
|
||||
insert_final_newline = true
|
||||
trim_trailing_whitespace = true
|
||||
|
||||
[*.ts]
|
||||
quote_type = single
|
||||
ij_typescript_use_double_quotes = false
|
||||
|
||||
[*.md]
|
||||
max_line_length = off
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||||
trim_trailing_whitespace = false
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||||
+44
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||||
# See https://docs.github.com/get-started/getting-started-with-git/ignoring-files for more about ignoring files.
|
||||
|
||||
# Compiled output
|
||||
/dist
|
||||
/tmp
|
||||
/out-tsc
|
||||
/bazel-out
|
||||
|
||||
# Node
|
||||
/node_modules
|
||||
npm-debug.log
|
||||
yarn-error.log
|
||||
|
||||
# IDEs and editors
|
||||
.idea/
|
||||
.project
|
||||
.classpath
|
||||
.c9/
|
||||
*.launch
|
||||
.settings/
|
||||
*.sublime-workspace
|
||||
|
||||
# Visual Studio Code
|
||||
.vscode/*
|
||||
!.vscode/settings.json
|
||||
!.vscode/tasks.json
|
||||
!.vscode/launch.json
|
||||
!.vscode/extensions.json
|
||||
!.vscode/mcp.json
|
||||
.history/*
|
||||
|
||||
# Miscellaneous
|
||||
/.angular/cache
|
||||
.sass-cache/
|
||||
/connect.lock
|
||||
/coverage
|
||||
/libpeerconnection.log
|
||||
testem.log
|
||||
/typings
|
||||
__screenshots__/
|
||||
|
||||
# System files
|
||||
.DS_Store
|
||||
Thumbs.db
|
||||
+12
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|
||||
{
|
||||
"printWidth": 100,
|
||||
"singleQuote": true,
|
||||
"overrides": [
|
||||
{
|
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"files": "*.html",
|
||||
"options": {
|
||||
"parser": "angular"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Vendored
+4
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|
||||
{
|
||||
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=827846
|
||||
"recommendations": ["angular.ng-template"]
|
||||
}
|
||||
Vendored
+20
@@ -0,0 +1,20 @@
|
||||
{
|
||||
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
|
||||
"version": "0.2.0",
|
||||
"configurations": [
|
||||
{
|
||||
"name": "ng serve",
|
||||
"type": "chrome",
|
||||
"request": "launch",
|
||||
"preLaunchTask": "npm: start",
|
||||
"url": "http://localhost:4200/"
|
||||
},
|
||||
{
|
||||
"name": "ng test",
|
||||
"type": "chrome",
|
||||
"request": "launch",
|
||||
"preLaunchTask": "npm: test",
|
||||
"url": "http://localhost:9876/debug.html"
|
||||
}
|
||||
]
|
||||
}
|
||||
Vendored
+9
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|
||||
{
|
||||
// For more information, visit: https://angular.dev/ai/mcp
|
||||
"servers": {
|
||||
"angular-cli": {
|
||||
"command": "npx",
|
||||
"args": ["-y", "@angular/cli", "mcp"]
|
||||
}
|
||||
}
|
||||
}
|
||||
Vendored
+42
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|
||||
{
|
||||
// For more information, visit: https://go.microsoft.com/fwlink/?LinkId=733558
|
||||
"version": "2.0.0",
|
||||
"tasks": [
|
||||
{
|
||||
"type": "npm",
|
||||
"script": "start",
|
||||
"isBackground": true,
|
||||
"problemMatcher": {
|
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"owner": "typescript",
|
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"pattern": "$tsc",
|
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"background": {
|
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"activeOnStart": true,
|
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"beginsPattern": {
|
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"regexp": "Changes detected"
|
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},
|
||||
"endsPattern": {
|
||||
"regexp": "bundle generation (complete|failed)"
|
||||
}
|
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}
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "npm",
|
||||
"script": "test",
|
||||
"isBackground": true,
|
||||
"problemMatcher": {
|
||||
"owner": "typescript",
|
||||
"pattern": "$tsc",
|
||||
"background": {
|
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"activeOnStart": true,
|
||||
"beginsPattern": {
|
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"regexp": "Changes detected"
|
||||
},
|
||||
"endsPattern": {
|
||||
"regexp": "bundle generation (complete|failed)"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Binary file not shown.
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BIN
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@@ -1,270 +1,59 @@
|
||||
# <div align="center">V-Aguatech – Automatic Technical Report Generator</div>
|
||||
# VAguatechAngular
|
||||
|
||||
---
|
||||
This project was generated using [Angular CLI](https://github.com/angular/angular-cli) version 21.2.9.
|
||||
|
||||
## <div align="center">Overview</div>
|
||||
## Development server
|
||||
|
||||
V-Aguatech is a desktop application developed in Python for the automatic generation of technical inspection reports in Microsoft Word format.
|
||||
|
||||
The platform was designed to streamline field inspection workflows by allowing investigators and technicians to:
|
||||
|
||||
- Fill structured inspection data
|
||||
- Attach photographs
|
||||
- Document applied inspection techniques
|
||||
- Register participants during inspections
|
||||
- Automatically generate professional DOCX reports from templates
|
||||
|
||||
The application uses a dynamic Word template system with automatic placeholder replacement and image insertion.
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Main Features</div>
|
||||
|
||||
## Automatic DOCX Report Generation
|
||||
|
||||
- Dynamic placeholder replacement
|
||||
- Automatic generation of timestamped reports
|
||||
- Structured technical documentation
|
||||
|
||||
---
|
||||
|
||||
## Image Processing
|
||||
|
||||
- Single image insertion
|
||||
- Multiple image insertion
|
||||
- Automatic image conversion to PNG
|
||||
- Automatic image resizing inside reports
|
||||
|
||||
---
|
||||
|
||||
## Technical Inspection Management
|
||||
|
||||
The system allows the user to document:
|
||||
|
||||
- Visual inspection techniques
|
||||
- Humidity measurements
|
||||
- Thermal camera inspections
|
||||
- Endoscopic camera analysis
|
||||
- Pressure testing
|
||||
- Color dye testing
|
||||
- Obstruction testing
|
||||
|
||||
Each technique supports:
|
||||
- Description field
|
||||
- Multiple attached photographs
|
||||
|
||||
---
|
||||
|
||||
## Presence Registration
|
||||
|
||||
The application supports recording:
|
||||
|
||||
- Insured individuals
|
||||
- Injured parties
|
||||
- Other participants
|
||||
|
||||
Including:
|
||||
- Names
|
||||
- Statements
|
||||
- Presence tracking during inspections
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Technologies Used</div>
|
||||
|
||||
| Technology | Purpose |
|
||||
|:---:|:---:|
|
||||
| Python | Main programming language |
|
||||
| Tkinter | Desktop graphical interface |
|
||||
| python-docx | Microsoft Word manipulation |
|
||||
| Pillow (PIL) | Image processing |
|
||||
| io / tempfile | Temporary image stream handling |
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Project Structure</div>
|
||||
|
||||
```txt
|
||||
.
|
||||
├── vaguatechrelatorios_VF1.py
|
||||
├── Corpus.docx
|
||||
├── README.md
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Requirements</div>
|
||||
|
||||
## Python Version
|
||||
|
||||
```txt
|
||||
Python 3.10+
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Required Libraries</div>
|
||||
|
||||
Install dependencies:
|
||||
To start a local development server, run:
|
||||
|
||||
```bash
|
||||
pip install python-docx pillow
|
||||
ng serve
|
||||
```
|
||||
|
||||
---
|
||||
Once the server is running, open your browser and navigate to `http://localhost:4200/`. The application will automatically reload whenever you modify any of the source files.
|
||||
|
||||
# <div align="center">Running the Application</div>
|
||||
## Code scaffolding
|
||||
|
||||
Execute:
|
||||
Angular CLI includes powerful code scaffolding tools. To generate a new component, run:
|
||||
|
||||
```bash
|
||||
python vaguatechrelatorios_VF1.py
|
||||
ng generate component component-name
|
||||
```
|
||||
|
||||
---
|
||||
For a complete list of available schematics (such as `components`, `directives`, or `pipes`), run:
|
||||
|
||||
# <div align="center">Required Template</div>
|
||||
|
||||
The application requires the following template file in the same directory:
|
||||
|
||||
```txt
|
||||
Corpus.docx
|
||||
```bash
|
||||
ng generate --help
|
||||
```
|
||||
|
||||
This template contains placeholders used for automatic replacement.
|
||||
## Building
|
||||
|
||||
---
|
||||
To build the project run:
|
||||
|
||||
# <div align="center">Supported Placeholders</div>
|
||||
|
||||
## Text Placeholders
|
||||
|
||||
| Placeholder | Description |
|
||||
|:---:|:---:|
|
||||
| `{{nproc}}` | Process number |
|
||||
| `{{segurado}}` | Insured person |
|
||||
| `{{comp}}` | Insurance company |
|
||||
| `{{terceiro}}` | Third party |
|
||||
| `{{data}}` | Inspection date |
|
||||
| `{{local da visita}}` | Inspection location |
|
||||
| `{{descriçãoimovel}}` | Property description |
|
||||
| `{{anoconstr}}` | Construction year |
|
||||
| `{{descricao}}` | Inspection description |
|
||||
| `{{area}}` | Area inspected |
|
||||
|
||||
---
|
||||
|
||||
## Image Placeholders
|
||||
|
||||
| Placeholder | Description |
|
||||
|:---:|:---:|
|
||||
| `{{foto1}}` | Main inspection image |
|
||||
| `{{foto2}}` | Multiple inspection images |
|
||||
|
||||
---
|
||||
|
||||
## Technical Sections
|
||||
|
||||
| Placeholder | Description |
|
||||
|:---:|:---:|
|
||||
| `{{tecnicasutilizadas}}` | Inspection techniques |
|
||||
| `{{iniciopesquisa}}` | Initial investigation methods |
|
||||
| `{{metodosutilizados}}` | Combined methods list |
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Generated Output</div>
|
||||
|
||||
Reports are automatically generated with timestamp naming:
|
||||
|
||||
```txt
|
||||
YYYY-MM-DD_HH-MM-SS.docx
|
||||
```bash
|
||||
ng build
|
||||
```
|
||||
|
||||
Example:
|
||||
This will compile your project and store the build artifacts in the `dist/` directory. By default, the production build optimizes your application for performance and speed.
|
||||
|
||||
```txt
|
||||
2026-05-21_15-30-00.docx
|
||||
## Running unit tests
|
||||
|
||||
To execute unit tests with the [Vitest](https://vitest.dev/) test runner, use the following command:
|
||||
|
||||
```bash
|
||||
ng test
|
||||
```
|
||||
|
||||
---
|
||||
## Running end-to-end tests
|
||||
|
||||
# <div align="center">User Interface</div>
|
||||
For end-to-end (e2e) testing, run:
|
||||
|
||||
The application provides:
|
||||
```bash
|
||||
ng e2e
|
||||
```
|
||||
|
||||
- Structured inspection form
|
||||
- Dynamic participant management
|
||||
- Multi-image selection
|
||||
- Technique management windows
|
||||
- Automatic validation popups
|
||||
- Error handling interface
|
||||
Angular CLI does not come with an end-to-end testing framework by default. You can choose one that suits your needs.
|
||||
|
||||
---
|
||||
## Additional Resources
|
||||
|
||||
# <div align="center">Error Handling</div>
|
||||
|
||||
The application automatically handles:
|
||||
|
||||
- Missing templates
|
||||
- Invalid image formats
|
||||
- Missing placeholders
|
||||
- DOCX generation failures
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Main Functionalities</div>
|
||||
|
||||
## Automatic Image Conversion
|
||||
|
||||
All images are automatically converted to PNG streams before insertion into Word documents.
|
||||
|
||||
---
|
||||
|
||||
## Dynamic Report Sections
|
||||
|
||||
The system dynamically builds:
|
||||
|
||||
- Participant summaries
|
||||
- Technical method sections
|
||||
- Inspection conclusions
|
||||
- Multi-image layouts
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Intended Use Cases</div>
|
||||
|
||||
- Insurance inspections
|
||||
- Technical damage assessments
|
||||
- Building inspections
|
||||
- Water damage investigations
|
||||
- Field technical reports
|
||||
- Evidence documentation
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Future Improvements</div>
|
||||
|
||||
- PDF export
|
||||
- Database integration
|
||||
- Digital signatures
|
||||
- Multi-user system
|
||||
- Cloud synchronization
|
||||
- OCR integration
|
||||
- AI-assisted report writing
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Disclaimer</div>
|
||||
|
||||
This software is intended for technical documentation and inspection support purposes.
|
||||
|
||||
Users remain responsible for validating generated reports before official submission.
|
||||
|
||||
---
|
||||
|
||||
# <div align="center">Author</div>
|
||||
|
||||
José Garcia
|
||||
Data Scientist
|
||||
PhD Researcher – Digitalization Engineering
|
||||
For more information on using the Angular CLI, including detailed command references, visit the [Angular CLI Overview and Command Reference](https://angular.dev/tools/cli) page.
|
||||
|
||||
@@ -1,39 +0,0 @@
|
||||
# -*- mode: python ; coding: utf-8 -*-
|
||||
|
||||
|
||||
a = Analysis(
|
||||
['vaguatechrelatorios.py'],
|
||||
pathex=[],
|
||||
binaries=[],
|
||||
datas=[('Corpus.docx', '.')],
|
||||
hiddenimports=[],
|
||||
hookspath=[],
|
||||
hooksconfig={},
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
noarchive=False,
|
||||
optimize=0,
|
||||
)
|
||||
pyz = PYZ(a.pure)
|
||||
|
||||
exe = EXE(
|
||||
pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.datas,
|
||||
[],
|
||||
name='V-aguatech_Reportcrator',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
upx_exclude=[],
|
||||
runtime_tmpdir=None,
|
||||
console=False,
|
||||
disable_windowed_traceback=False,
|
||||
argv_emulation=False,
|
||||
target_arch=None,
|
||||
codesign_identity=None,
|
||||
entitlements_file=None,
|
||||
icon=['icon.ico'],
|
||||
)
|
||||
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|
||||
{
|
||||
"$schema": "./node_modules/@angular/cli/lib/config/schema.json",
|
||||
"version": 1,
|
||||
"cli": {
|
||||
"packageManager": "npm",
|
||||
"analytics": "9e434f1a-9bba-4713-a4e8-c59e9943824f"
|
||||
},
|
||||
"newProjectRoot": "projects",
|
||||
"projects": {
|
||||
"v-aguatech-angular": {
|
||||
"projectType": "application",
|
||||
"schematics": {},
|
||||
"root": "",
|
||||
"sourceRoot": "src",
|
||||
"prefix": "app",
|
||||
"architect": {
|
||||
"build": {
|
||||
"builder": "@angular/build:application",
|
||||
"options": {
|
||||
"browser": "src/main.ts",
|
||||
"tsConfig": "tsconfig.app.json",
|
||||
"assets": [
|
||||
{
|
||||
"glob": "**/*",
|
||||
"input": "public"
|
||||
}
|
||||
],
|
||||
"styles": [
|
||||
"src/styles.css"
|
||||
]
|
||||
},
|
||||
"configurations": {
|
||||
"production": {
|
||||
"budgets": [
|
||||
{
|
||||
"type": "initial",
|
||||
"maximumWarning": "500kB",
|
||||
"maximumError": "1MB"
|
||||
},
|
||||
{
|
||||
"type": "anyComponentStyle",
|
||||
"maximumWarning": "4kB",
|
||||
"maximumError": "8kB"
|
||||
}
|
||||
],
|
||||
"outputHashing": "all"
|
||||
},
|
||||
"development": {
|
||||
"optimization": false,
|
||||
"extractLicenses": false,
|
||||
"sourceMap": true
|
||||
}
|
||||
},
|
||||
"defaultConfiguration": "production"
|
||||
},
|
||||
"serve": {
|
||||
"builder": "@angular/build:dev-server",
|
||||
"options": {
|
||||
"port": 4201
|
||||
},
|
||||
"configurations": {
|
||||
"production": {
|
||||
"buildTarget": "v-aguatech-angular:build:production"
|
||||
},
|
||||
"development": {
|
||||
"buildTarget": "v-aguatech-angular:build:development"
|
||||
}
|
||||
},
|
||||
"defaultConfiguration": "development"
|
||||
},
|
||||
"test": {
|
||||
"builder": "@angular/build:unit-test"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
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|
||||
This file lists modules PyInstaller was not able to find. This does not
|
||||
necessarily mean these modules are required for running your program. Both
|
||||
Python's standard library and 3rd-party Python packages often conditionally
|
||||
import optional modules, some of which may be available only on certain
|
||||
platforms.
|
||||
|
||||
Types of import:
|
||||
* top-level: imported at the top-level - look at these first
|
||||
* conditional: imported within an if-statement
|
||||
* delayed: imported within a function
|
||||
* optional: imported within a try-except-statement
|
||||
|
||||
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
|
||||
tracking down the missing module yourself. Thanks!
|
||||
|
||||
missing module named pwd - imported by posixpath (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional), http.server (delayed, optional), psutil (optional), netrc (delayed, conditional), getpass (delayed)
|
||||
missing module named grp - imported by shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional)
|
||||
missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
|
||||
missing module named fcntl - imported by subprocess (optional), psutil._compat (delayed, optional), xmlrpc.server (optional)
|
||||
missing module named urllib.urlopen - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named urllib.urlencode - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
missing module named posix - imported by os (conditional, optional), shutil (conditional), importlib._bootstrap_external (conditional), posixpath (optional)
|
||||
missing module named resource - imported by posix (top-level)
|
||||
missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
|
||||
missing module named termios - imported by tty (top-level), psutil._compat (delayed, optional), getpass (optional)
|
||||
missing module named vms_lib - imported by platform (delayed, optional)
|
||||
missing module named 'java.lang' - imported by platform (delayed, optional)
|
||||
missing module named java - imported by platform (delayed)
|
||||
missing module named _winreg - imported by platform (delayed, optional)
|
||||
missing module named _scproxy - imported by urllib.request (conditional)
|
||||
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
|
||||
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
|
||||
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named pyimod02_importers - imported by C:\Users\garci\AppData\Roaming\Python\Python312\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
|
||||
missing module named collections.Callable - imported by collections (optional), bs4.element (optional), bs4.builder._lxml (optional)
|
||||
missing module named asyncio.DefaultEventLoopPolicy - imported by asyncio (delayed, conditional), asyncio.events (delayed, conditional)
|
||||
missing module named annotationlib - imported by typing_extensions (conditional)
|
||||
missing module named htmlentitydefs - imported by lxml.html.soupparser (optional)
|
||||
missing module named BeautifulSoup - imported by lxml.html.soupparser (optional)
|
||||
missing module named chardet - imported by bs4.dammit (optional)
|
||||
missing module named cchardet - imported by bs4.dammit (optional)
|
||||
missing module named bs4.builder.HTMLParserTreeBuilder - imported by bs4.builder (top-level), bs4 (top-level)
|
||||
missing module named 'html5lib.treebuilders' - imported by bs4.builder._html5lib (optional), lxml.html._html5builder (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named 'html5lib.constants' - imported by bs4.builder._html5lib (top-level)
|
||||
missing module named html5lib - imported by bs4.builder._html5lib (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named urlparse - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named urllib2 - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named lxml_html_clean - imported by lxml.html.clean (optional)
|
||||
missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, optional)
|
||||
missing module named cssselect - imported by lxml.cssselect (optional)
|
||||
missing module named olefile - imported by PIL.FpxImagePlugin (top-level), PIL.MicImagePlugin (top-level)
|
||||
missing module named _dummy_thread - imported by numpy.core.arrayprint (optional)
|
||||
missing module named dummy_threading - imported by psutil._compat (optional)
|
||||
missing module named numpy.core.result_type - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.float_ - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.number - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.object_ - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.max - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.all - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.errstate - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.bool_ - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.inf - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.isnan - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.array2string - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.lib.imag - imported by numpy.lib (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.lib.real - imported by numpy.lib (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.lib.iscomplexobj - imported by numpy.lib (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.signbit - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
|
||||
missing module named numpy.core.isscalar - imported by numpy.core (delayed), numpy.testing._private.utils (delayed), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.array - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.isnat - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.core.ndarray - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.lib.utils (top-level)
|
||||
missing module named numpy.core.array_repr - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.core.arange - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.fft.helper (top-level)
|
||||
missing module named numpy.core.empty - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level), numpy.fft.helper (top-level)
|
||||
missing module named numpy.core.float32 - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.core.intp - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.core.linspace - imported by numpy.core (top-level), numpy.lib.index_tricks (top-level)
|
||||
missing module named numpy.core.iinfo - imported by numpy.core (top-level), numpy.lib.twodim_base (top-level)
|
||||
missing module named numpy.core.transpose - imported by numpy.core (top-level), numpy.lib.function_base (top-level)
|
||||
missing module named numpy.uint - imported by numpy (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.core.asarray - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.utils (top-level), numpy.fft._pocketfft (top-level), numpy.fft.helper (top-level)
|
||||
missing module named numpy.core.integer - imported by numpy.core (top-level), numpy.fft.helper (top-level)
|
||||
missing module named numpy.core.sqrt - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy.core.conjugate - imported by numpy.core (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy.core.swapaxes - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy.core.zeros - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy.core.reciprocal - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.sort - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.argsort - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.sign - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.count_nonzero - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.divide - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.matmul - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.asanyarray - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.atleast_2d - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.prod - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.amax - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.amin - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.moveaxis - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.geterrobj - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.finfo - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.isfinite - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.sum - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.multiply - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.add - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.dot - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.Inf - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.newaxis - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.complexfloating - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.inexact - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.cdouble - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.csingle - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.double - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.single - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.intc - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named numpy.core.empty_like - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
|
||||
missing module named pyodide_js - imported by threadpoolctl (delayed, optional)
|
||||
missing module named numpy.core.ufunc - imported by numpy.core (top-level), numpy.lib.utils (top-level)
|
||||
missing module named numpy.core.ones - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.hstack - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.atleast_1d - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
|
||||
missing module named numpy.core.atleast_3d - imported by numpy.core (top-level), numpy.lib.shape_base (top-level)
|
||||
missing module named numpy.core.vstack - imported by numpy.core (top-level), numpy.lib.shape_base (top-level)
|
||||
missing module named pickle5 - imported by numpy.compat.py3k (optional)
|
||||
missing module named numpy.eye - imported by numpy (delayed), numpy.core.numeric (delayed)
|
||||
missing module named numpy.recarray - imported by numpy (top-level), numpy.lib.recfunctions (top-level), numpy.ma.mrecords (top-level)
|
||||
missing module named numpy.expand_dims - imported by numpy (top-level), numpy.ma.core (top-level)
|
||||
missing module named numpy.array - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level)
|
||||
missing module named numpy.iscomplexobj - imported by numpy (top-level), numpy.ma.core (top-level)
|
||||
missing module named numpy.amin - imported by numpy (top-level), numpy.ma.core (top-level)
|
||||
missing module named numpy.amax - imported by numpy (top-level), numpy.ma.core (top-level)
|
||||
missing module named numpy.isinf - imported by numpy (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.isnan - imported by numpy (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.isfinite - imported by numpy (top-level), numpy.testing._private.utils (top-level)
|
||||
missing module named numpy.float64 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.float32 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.uint64 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random.bit_generator (top-level), numpy.random._philox (top-level), numpy.random._sfc64 (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.uint32 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random.bit_generator (top-level), numpy.random._generator (top-level), numpy.random._mt19937 (top-level)
|
||||
missing module named numpy.uint16 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.uint8 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.int64 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.int32 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.int16 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.int8 - imported by numpy (top-level), numpy.array_api._typing (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.bytes_ - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.str_ - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.void - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.object_ - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.datetime64 - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.timedelta64 - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.number - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.complexfloating - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.floating - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.integer - imported by numpy (top-level), numpy._typing._array_like (top-level), numpy.ctypeslib (top-level)
|
||||
missing module named numpy.unsignedinteger - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.bool_ - imported by numpy (top-level), numpy._typing._array_like (top-level), numpy.ma.core (top-level), numpy.ma.mrecords (top-level), numpy.random.mtrand (top-level), numpy.random._generator (top-level)
|
||||
missing module named numpy.generic - imported by numpy (top-level), numpy._typing._array_like (top-level)
|
||||
missing module named numpy.dtype - imported by numpy (top-level), numpy._typing._array_like (top-level), numpy.array_api._typing (top-level), numpy.ma.mrecords (top-level), numpy.random.mtrand (top-level), numpy.random.bit_generator (top-level), numpy.random._philox (top-level), numpy.random._sfc64 (top-level), numpy.random._generator (top-level), numpy.random._mt19937 (top-level), numpy.ctypeslib (top-level)
|
||||
missing module named numpy.ndarray - imported by numpy (top-level), numpy._typing._array_like (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.lib.recfunctions (top-level), numpy.ma.mrecords (top-level), numpy.random.mtrand (top-level), numpy.random.bit_generator (top-level), numpy.random._philox (top-level), numpy.random._sfc64 (top-level), numpy.random._generator (top-level), numpy.random._mt19937 (top-level), numpy.ctypeslib (top-level)
|
||||
missing module named numpy.ufunc - imported by numpy (top-level), numpy._typing (top-level), numpy.testing.overrides (top-level)
|
||||
missing module named numpy.histogramdd - imported by numpy (delayed), numpy.lib.twodim_base (delayed)
|
||||
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
|
||||
missing module named numpy._typing._ufunc - imported by numpy._typing (conditional)
|
||||
missing module named xmlrpclib - imported by defusedxml.xmlrpc (conditional)
|
||||
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@@ -1,247 +0,0 @@
|
||||
|
||||
This file lists modules PyInstaller was not able to find. This does not
|
||||
necessarily mean these modules are required for running your program. Both
|
||||
Python's standard library and 3rd-party Python packages often conditionally
|
||||
import optional modules, some of which may be available only on certain
|
||||
platforms.
|
||||
|
||||
Types of import:
|
||||
* top-level: imported at the top-level - look at these first
|
||||
* conditional: imported within an if-statement
|
||||
* delayed: imported within a function
|
||||
* optional: imported within a try-except-statement
|
||||
|
||||
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
|
||||
tracking down the missing module yourself. Thanks!
|
||||
|
||||
missing module named pwd - imported by posixpath (delayed, conditional, optional), subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional), netrc (delayed, optional), http.server (delayed, optional), psutil (optional)
|
||||
missing module named grp - imported by subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional)
|
||||
missing module named 'collections.abc' - imported by tracemalloc (top-level), typing (top-level), traceback (top-level), _colorize (top-level), selectors (top-level), logging (top-level), http.client (top-level), importlib.resources.readers (top-level), inspect (top-level), typing_extensions (top-level), asyncio.base_events (top-level), multiprocessing.managers (top-level), asyncio.coroutines (top-level), PIL.Image (top-level), PIL._typing (top-level), numpy._typing._array_like (top-level), numpy._typing._nested_sequence (conditional), numpy._typing._shape (top-level), numpy._typing._dtype_like (top-level), numpy.lib._function_base_impl (top-level), _pyrepl.types (top-level), numpy.lib._npyio_impl (top-level), numpy.random._common (top-level), numpy.random._generator (top-level), numpy.random.bit_generator (top-level), numpy.random.mtrand (top-level), numpy.polynomial._polybase (top-level), xml.etree.ElementTree (top-level), PIL.TiffImagePlugin (top-level), PIL.ImageOps (top-level), PIL.ImagePalette (top-level), PIL.GimpGradientFile (conditional), PIL.ImageFilter (top-level), PIL.ImageQt (conditional), PIL.ImageMath (conditional), PIL.ImageSequence (conditional), PIL.PngImagePlugin (conditional), lxml.html (top-level), lxml.html._setmixin (optional), PIL.Jpeg2KImagePlugin (conditional)
|
||||
missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
|
||||
missing module named fcntl - imported by subprocess (optional), pathlib._os (optional)
|
||||
missing module named urllib.urlopen - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named urllib.urlencode - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named _scproxy - imported by urllib.request (conditional)
|
||||
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
missing module named posix - imported by os (conditional, optional), posixpath (optional), shutil (conditional), importlib._bootstrap_external (conditional), pathlib._os (optional), _pyrepl.trace (conditional)
|
||||
missing module named resource - imported by posix (top-level)
|
||||
missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
|
||||
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.forkserver (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
|
||||
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
|
||||
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named pyimod02_importers - imported by C:\Users\garci\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
|
||||
missing module named htmlentitydefs - imported by lxml.html.soupparser (optional)
|
||||
missing module named BeautifulSoup - imported by lxml.html.soupparser (optional)
|
||||
missing module named cchardet - imported by bs4.dammit (optional)
|
||||
missing module named 'html5lib.treebuilders' - imported by bs4.builder._html5lib (top-level), lxml.html._html5builder (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named 'html5lib.constants' - imported by bs4.builder._html5lib (top-level)
|
||||
missing module named html5lib - imported by bs4.builder._html5lib (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named urlparse - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named urllib2 - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named 'cython.cimports' - imported by lxml.html.diff (optional)
|
||||
missing module named cython - imported by lxml.html.diff (optional), lxml.html._difflib (optional)
|
||||
missing module named lxml_html_clean - imported by lxml.html.clean (optional)
|
||||
missing module named cgi - imported by lxml.doctestcompare (optional)
|
||||
missing module named termios - imported by tty (top-level), _pyrepl.pager (delayed, optional)
|
||||
missing module named vms_lib - imported by platform (delayed, optional)
|
||||
missing module named 'java.lang' - imported by platform (delayed, optional)
|
||||
missing module named java - imported by platform (delayed)
|
||||
missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, conditional, optional), rlcompleter (optional)
|
||||
missing module named cssselect - imported by lxml.cssselect (optional)
|
||||
missing module named olefile - imported by PIL.FpxImagePlugin (top-level), PIL.MicImagePlugin (top-level)
|
||||
missing module named _dummy_thread - imported by numpy._core.arrayprint (optional)
|
||||
missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional)
|
||||
missing module named _typeshed - imported by numpy.random.bit_generator (top-level)
|
||||
missing module named numpy.random.RandomState - imported by numpy.random (top-level), numpy.random._generator (top-level)
|
||||
missing module named threadpoolctl - imported by numpy.lib._utils_impl (delayed, optional)
|
||||
missing module named numpy._core.zeros - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.vstack - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.void - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.vecmat - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.vecdot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.ushort - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.unsignedinteger - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ulonglong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ulong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uintp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uintc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uint64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ubyte - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.trunc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.true_divide - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._function_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.trace - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.timedelta64 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.tensordot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.tanh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.tan - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.swapaxes - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.sum - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.subtract - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.str_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.square - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.sqrt - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.spacing - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.sort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.sinh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.single - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.signedinteger - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.signbit - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.sign - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.short - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.rint - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.right_shift - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.result_type - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.remainder - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.reciprocal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.radians - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.rad2deg - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.prod - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.power - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.positive - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.pi - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.outer - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.ones - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.object_ - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.number - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.not_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.nextafter - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.newaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.negative - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ndarray - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy.lib._utils_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.multiply - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.moveaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.modf - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.mod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.minimum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.maximum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.max - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.matvec - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.matrix_transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.matmul - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.longlong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.longdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.long - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_not - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log10 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log1p - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.linspace - imported by numpy._core (top-level), numpy.lib._index_tricks_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.less_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.less - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.left_shift - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ldexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.lcm - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.isscalar - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnat - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnan - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.isfinite - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.intp - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.integer - imported by numpy._core (conditional), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.intc - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.int64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int8 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.inf - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.inexact - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.iinfo - imported by numpy._core (top-level), numpy.lib._twodim_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.hypot - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.hstack - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.heaviside - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.half - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.gcd - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frompyfunc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmax - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor_divide - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floating - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float_power - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float32 - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.float16 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.finfo - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.fabs - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.expm1 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.exp2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.exp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.euler_gamma - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.errstate - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.empty_like - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.empty - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.e - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.double - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.dot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.divmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.divide - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.diagonal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.degrees - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.deg2rad - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.datetime64 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.csingle - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cross - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.count_nonzero - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.copysign - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.conjugate - imported by numpy._core (conditional), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.conj - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.complexfloating - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.complex64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.clongdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.character - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ceil - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cdouble - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cbrt - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bytes_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.byte - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bool_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_count - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.atleast_3d - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_2d - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_1d - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.asarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._array_utils_impl (top-level), numpy (conditional), numpy.fft._helper (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.asanyarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array_repr - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array2string - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.array - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.argsort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.arctanh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsinh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arange - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.amin - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.amax - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.all - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.add - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named yaml - imported by numpy.__config__ (delayed)
|
||||
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
|
||||
missing module named defusedxml - imported by PIL.Image (optional)
|
||||
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@@ -1,247 +0,0 @@
|
||||
|
||||
This file lists modules PyInstaller was not able to find. This does not
|
||||
necessarily mean these modules are required for running your program. Both
|
||||
Python's standard library and 3rd-party Python packages often conditionally
|
||||
import optional modules, some of which may be available only on certain
|
||||
platforms.
|
||||
|
||||
Types of import:
|
||||
* top-level: imported at the top-level - look at these first
|
||||
* conditional: imported within an if-statement
|
||||
* delayed: imported within a function
|
||||
* optional: imported within a try-except-statement
|
||||
|
||||
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
|
||||
tracking down the missing module yourself. Thanks!
|
||||
|
||||
missing module named pwd - imported by posixpath (delayed, conditional, optional), subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional), netrc (delayed, optional), http.server (delayed, optional), psutil (optional)
|
||||
missing module named grp - imported by subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional)
|
||||
missing module named 'collections.abc' - imported by tracemalloc (top-level), typing (top-level), traceback (top-level), _colorize (top-level), selectors (top-level), logging (top-level), http.client (top-level), importlib.resources.readers (top-level), inspect (top-level), typing_extensions (top-level), asyncio.base_events (top-level), multiprocessing.managers (top-level), asyncio.coroutines (top-level), PIL.Image (top-level), PIL._typing (top-level), numpy._typing._array_like (top-level), numpy._typing._nested_sequence (conditional), numpy._typing._shape (top-level), numpy._typing._dtype_like (top-level), numpy.lib._function_base_impl (top-level), _pyrepl.types (top-level), numpy.lib._npyio_impl (top-level), numpy.random._common (top-level), numpy.random._generator (top-level), numpy.random.bit_generator (top-level), numpy.random.mtrand (top-level), numpy.polynomial._polybase (top-level), xml.etree.ElementTree (top-level), PIL.TiffImagePlugin (top-level), PIL.ImageOps (top-level), PIL.ImagePalette (top-level), PIL.GimpGradientFile (conditional), PIL.ImageFilter (top-level), PIL.ImageQt (conditional), PIL.ImageMath (conditional), PIL.ImageSequence (conditional), PIL.PngImagePlugin (conditional), lxml.html (top-level), lxml.html._setmixin (optional), PIL.Jpeg2KImagePlugin (conditional)
|
||||
missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
|
||||
missing module named fcntl - imported by subprocess (optional), pathlib._os (optional)
|
||||
missing module named urllib.urlopen - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named urllib.urlencode - imported by urllib (delayed, optional), lxml.html (delayed, optional)
|
||||
missing module named _scproxy - imported by urllib.request (conditional)
|
||||
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
|
||||
missing module named posix - imported by os (conditional, optional), posixpath (optional), shutil (conditional), importlib._bootstrap_external (conditional), pathlib._os (optional), _pyrepl.trace (conditional)
|
||||
missing module named resource - imported by posix (top-level)
|
||||
missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
|
||||
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.forkserver (top-level), multiprocessing.connection (top-level)
|
||||
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
|
||||
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
|
||||
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
|
||||
missing module named pyimod02_importers - imported by C:\Users\garci\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
|
||||
missing module named htmlentitydefs - imported by lxml.html.soupparser (optional)
|
||||
missing module named BeautifulSoup - imported by lxml.html.soupparser (optional)
|
||||
missing module named cchardet - imported by bs4.dammit (optional)
|
||||
missing module named 'html5lib.treebuilders' - imported by bs4.builder._html5lib (top-level), lxml.html._html5builder (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named 'html5lib.constants' - imported by bs4.builder._html5lib (top-level)
|
||||
missing module named html5lib - imported by bs4.builder._html5lib (top-level), lxml.html.html5parser (top-level)
|
||||
missing module named urlparse - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named urllib2 - imported by lxml.ElementInclude (optional), lxml.html.html5parser (optional)
|
||||
missing module named 'cython.cimports' - imported by lxml.html.diff (optional)
|
||||
missing module named cython - imported by lxml.html.diff (optional), lxml.html._difflib (optional)
|
||||
missing module named lxml_html_clean - imported by lxml.html.clean (optional)
|
||||
missing module named cgi - imported by lxml.doctestcompare (optional)
|
||||
missing module named termios - imported by tty (top-level), _pyrepl.pager (delayed, optional)
|
||||
missing module named vms_lib - imported by platform (delayed, optional)
|
||||
missing module named 'java.lang' - imported by platform (delayed, optional)
|
||||
missing module named java - imported by platform (delayed)
|
||||
missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, conditional, optional), rlcompleter (optional)
|
||||
missing module named cssselect - imported by lxml.cssselect (optional)
|
||||
missing module named olefile - imported by PIL.FpxImagePlugin (top-level), PIL.MicImagePlugin (top-level)
|
||||
missing module named _dummy_thread - imported by numpy._core.arrayprint (optional)
|
||||
missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
|
||||
missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional)
|
||||
missing module named _typeshed - imported by numpy.random.bit_generator (top-level)
|
||||
missing module named numpy.random.RandomState - imported by numpy.random (top-level), numpy.random._generator (top-level)
|
||||
missing module named threadpoolctl - imported by numpy.lib._utils_impl (delayed, optional)
|
||||
missing module named numpy._core.zeros - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.vstack - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.void - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.vecmat - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.vecdot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.ushort - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.unsignedinteger - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ulonglong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ulong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uintp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uintc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.uint64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.uint - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ubyte - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.trunc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.true_divide - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._function_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.trace - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.timedelta64 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.tensordot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.tanh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.tan - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.swapaxes - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.sum - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.subtract - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.str_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.square - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.sqrt - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.spacing - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.sort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.sinh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.single - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.signedinteger - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.signbit - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.sign - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.short - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.rint - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.right_shift - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.result_type - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.remainder - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.reciprocal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.radians - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.rad2deg - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.prod - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.power - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.positive - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.pi - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.outer - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.ones - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.object_ - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.number - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.not_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.nextafter - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.newaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.negative - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ndarray - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy.lib._utils_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.multiply - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.moveaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.modf - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.mod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.minimum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.maximum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.max - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.matvec - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.matrix_transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.matmul - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.longlong - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.longdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.long - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_not - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log10 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log1p - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.linspace - imported by numpy._core (top-level), numpy.lib._index_tricks_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.less_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.less - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.left_shift - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ldexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.lcm - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.isscalar - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnat - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnan - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.isfinite - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.intp - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.integer - imported by numpy._core (conditional), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.intc - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.int64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int8 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.inf - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.inexact - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.iinfo - imported by numpy._core (top-level), numpy.lib._twodim_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.hypot - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.hstack - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.heaviside - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.half - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.gcd - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frompyfunc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmax - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor_divide - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floating - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float_power - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float32 - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.float16 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.finfo - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.fabs - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.expm1 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.exp2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.exp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.euler_gamma - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.errstate - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.empty_like - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.empty - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.e - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.double - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.dot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.divmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.divide - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.diagonal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.degrees - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.deg2rad - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.datetime64 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.csingle - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cross - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.count_nonzero - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.copysign - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.conjugate - imported by numpy._core (conditional), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.conj - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.complexfloating - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.complex64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.clongdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.character - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ceil - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cdouble - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cbrt - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bytes_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.byte - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bool_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_count - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.atleast_3d - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_2d - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_1d - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.asarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._array_utils_impl (top-level), numpy (conditional), numpy.fft._helper (top-level), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.asanyarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array_repr - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array2string - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.array - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.argsort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.arctanh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsinh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arange - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.amin - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.amax - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.all - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.add - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named yaml - imported by numpy.__config__ (delayed)
|
||||
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
|
||||
missing module named defusedxml - imported by PIL.Image (optional)
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,35 +0,0 @@
|
||||
@echo off
|
||||
setlocal
|
||||
|
||||
cd /d "%~dp0"
|
||||
|
||||
if not exist "icon.png" (
|
||||
echo ERRO: "icon.png" nao encontrado na pasta atual.
|
||||
echo Coloque a imagem do logo como "icon.png" nesta pasta e execute novamente.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
echo A gerar icon.ico...
|
||||
python -c "from PIL import Image; img=Image.open('icon.png'); img.save('icon.ico', sizes=[(256,256)])"
|
||||
if errorlevel 1 (
|
||||
echo ERRO: Falha ao gerar icon.ico. Verifique se o Pillow esta instalado.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
echo A instalar/atualizar PyInstaller...
|
||||
python -m pip install --upgrade pyinstaller
|
||||
if errorlevel 1 (
|
||||
echo ERRO: Falha ao instalar PyInstaller.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
echo A compilar o executavel...
|
||||
python -m PyInstaller --noconsole --onefile --name "V-aguatech_Reportcrator" --icon "icon.ico" --add-data "Corpus.docx;." vaguatechrelatorios.py
|
||||
if errorlevel 1 (
|
||||
echo ERRO: Falha ao compilar o executavel.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
echo.
|
||||
echo SUCESSO: Executavel gerado em "dist\V-aguatech_Reportcrator.exe"
|
||||
endlocal
|
||||
@@ -1,28 +0,0 @@
|
||||
@echo off
|
||||
setlocal
|
||||
|
||||
cd /d "%~dp0"
|
||||
|
||||
if not exist "icon.ico" (
|
||||
echo ERRO: "icon.ico" nao encontrado na pasta atual.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
if not exist "Corpus.docx" (
|
||||
echo ERRO: "Corpus.docx" nao encontrado na pasta atual.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
echo A compilar o executavel VF1...
|
||||
python -m PyInstaller --clean "vaguatechrelatorios_VF1.spec"
|
||||
if errorlevel 1 (
|
||||
echo ERRO: Falha ao compilar o executavel VF1.
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
copy /Y "Corpus.docx" "dist\\Corpus.docx" >nul
|
||||
|
||||
echo.
|
||||
echo SUCESSO: Executavel gerado em "dist\vaguatechrelatorios_VF1.exe"
|
||||
echo SUCESSO: Template copiado para "dist\Corpus.docx"
|
||||
endlocal
|
||||
Vendored
BIN
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Vendored
BIN
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BIN
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BIN
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Generated
+8795
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Load Diff
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"name": "v-aguatech-angular",
|
||||
"version": "0.0.0",
|
||||
"scripts": {
|
||||
"ng": "ng",
|
||||
"start": "ng serve",
|
||||
"build": "ng build",
|
||||
"watch": "ng build --watch --configuration development",
|
||||
"test": "ng test"
|
||||
},
|
||||
"private": true,
|
||||
"packageManager": "npm@10.9.2",
|
||||
"dependencies": {
|
||||
"@angular/common": "^21.2.0",
|
||||
"@angular/compiler": "^21.2.0",
|
||||
"@angular/core": "^21.2.0",
|
||||
"@angular/forms": "^21.2.0",
|
||||
"@angular/platform-browser": "^21.2.0",
|
||||
"@angular/router": "^21.2.0",
|
||||
"docx": "^9.6.1",
|
||||
"docx-preview": "^0.3.7",
|
||||
"rxjs": "~7.8.0",
|
||||
"tslib": "^2.3.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@angular/build": "^21.2.9",
|
||||
"@angular/cli": "^21.2.9",
|
||||
"@angular/compiler-cli": "^21.2.0",
|
||||
"jsdom": "^28.0.0",
|
||||
"prettier": "^3.8.1",
|
||||
"typescript": "~5.9.2",
|
||||
"vitest": "^4.0.8"
|
||||
}
|
||||
}
|
||||
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|
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|
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|
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|
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|
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File diff suppressed because one or more lines are too long
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
|
||||
<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships"><Relationship Id="rId2" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/hyperlink" Target="https://v-aguatech.com" TargetMode="External"/><Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/image" Target="media/image2.jpeg"/></Relationships>
|
||||
@@ -0,0 +1,11 @@
|
||||
import { ApplicationConfig, provideBrowserGlobalErrorListeners } from '@angular/core';
|
||||
import { provideRouter } from '@angular/router';
|
||||
|
||||
import { routes } from './app.routes';
|
||||
|
||||
export const appConfig: ApplicationConfig = {
|
||||
providers: [
|
||||
provideBrowserGlobalErrorListeners(),
|
||||
provideRouter(routes)
|
||||
]
|
||||
};
|
||||
@@ -0,0 +1,3 @@
|
||||
:host {
|
||||
display: block;
|
||||
}
|
||||
@@ -0,0 +1,439 @@
|
||||
<main class="workspace">
|
||||
<aside class="workspace__controls" (input)="queuePreviewRender()" (change)="queuePreviewRender()">
|
||||
<div class="panel-head">
|
||||
<p class="eyebrow">V-aguatech Report Creator</p>
|
||||
</div>
|
||||
|
||||
<div class="action-row">
|
||||
<button
|
||||
class="button button--primary"
|
||||
type="button"
|
||||
(click)="downloadWord()"
|
||||
[disabled]="isExporting"
|
||||
>
|
||||
{{ isExporting ? 'A gerar Word...' : 'Gerar Word' }}
|
||||
</button>
|
||||
<button class="button button--ghost" type="button" (click)="resetForm()">Limpar</button>
|
||||
</div>
|
||||
|
||||
<p
|
||||
class="status"
|
||||
[class.is-success]="statusTone === 'success'"
|
||||
[class.is-error]="statusTone === 'error'"
|
||||
>
|
||||
{{ statusMessage }}
|
||||
</p>
|
||||
|
||||
<section class="form-card">
|
||||
<div class="section-head">
|
||||
<h2>Dados base</h2>
|
||||
</div>
|
||||
|
||||
<div class="field-grid">
|
||||
<label class="field">
|
||||
<span>N do processo</span>
|
||||
<input [(ngModel)]="form.nproc" placeholder="Ex. 2026/12345" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Segurado</span>
|
||||
<input [(ngModel)]="form.segurado" placeholder="Nome do segurado" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Companhia</span>
|
||||
<input [(ngModel)]="form.companhia" placeholder="Companhia seguradora" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Terceiro</span>
|
||||
<input [(ngModel)]="form.terceiro" placeholder="Entidade terceira" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Data da visita</span>
|
||||
<input [(ngModel)]="form.dataVisita" type="date" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Local da visita</span>
|
||||
<input [(ngModel)]="form.localVisita" placeholder="Morada ou local" />
|
||||
</label>
|
||||
|
||||
<label class="field field--full">
|
||||
<span>Descricao do imovel</span>
|
||||
<textarea
|
||||
[(ngModel)]="form.descricaoImovel"
|
||||
rows="4"
|
||||
placeholder="Caracterizacao do imovel e enquadramento."
|
||||
></textarea>
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Ano de construcão</span>
|
||||
<input [(ngModel)]="form.anoConstrucao" placeholder="Ex. 1998" />
|
||||
</label>
|
||||
|
||||
<label class="field">
|
||||
<span>Área do espaço (m2)</span>
|
||||
<input [(ngModel)]="form.area" placeholder="Ex. 82" />
|
||||
</label>
|
||||
|
||||
<label class="field field--full">
|
||||
<span>Descrição da pesquisa</span>
|
||||
<textarea
|
||||
[(ngModel)]="form.descricaoPesquisa"
|
||||
rows="5"
|
||||
placeholder="Descrição do levantamento efetuado, constatações e enquadramento."
|
||||
></textarea>
|
||||
</label>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section class="form-card">
|
||||
<div class="section-head">
|
||||
<h2>Fotografias</h2>
|
||||
<p>Imagem principal do imovel e das pesquisas.</p>
|
||||
</div>
|
||||
|
||||
<div class="upload-block">
|
||||
<div class="upload-row">
|
||||
<div>
|
||||
<strong>Imagem do imovel</strong>
|
||||
<p>Substitui o bloco principal do documento.</p>
|
||||
</div>
|
||||
<label class="button button--soft">
|
||||
Carregar imagem
|
||||
<input
|
||||
class="sr-only"
|
||||
type="file"
|
||||
accept=".png,.jpg,.jpeg,.gif,.bmp"
|
||||
(change)="onMainPhotoSelected($event)"
|
||||
/>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
@if (form.fotoImovel; as photo) {
|
||||
<div class="thumb-list thumb-list--single">
|
||||
<article class="thumb-card">
|
||||
<img [src]="photo.objectUrl" [alt]="photo.name" />
|
||||
<div class="thumb-card__meta">
|
||||
<strong>{{ photo.name }}</strong>
|
||||
<button class="link-button" type="button" (click)="clearMainPhoto()">Remover</button>
|
||||
</div>
|
||||
</article>
|
||||
</div>
|
||||
}
|
||||
</div>
|
||||
|
||||
<div class="upload-block">
|
||||
<div class="upload-row">
|
||||
<div>
|
||||
<strong>Imagens da pesquisa</strong>
|
||||
<p>Usadas na seccão descritiva do relatório.</p>
|
||||
</div>
|
||||
<label class="button button--soft">
|
||||
Adicionar imagens
|
||||
<input
|
||||
class="sr-only"
|
||||
type="file"
|
||||
accept=".png,.jpg,.jpeg,.gif,.bmp"
|
||||
multiple
|
||||
(change)="onResearchPhotosSelected($event)"
|
||||
/>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
@if (form.fotosPesquisa.length) {
|
||||
<div class="thumb-list">
|
||||
@for (photo of form.fotosPesquisa; track photo.id) {
|
||||
<article class="thumb-card">
|
||||
<img [src]="photo.objectUrl" [alt]="photo.name" />
|
||||
<div class="thumb-card__meta">
|
||||
<strong>{{ photo.name }}</strong>
|
||||
<button class="link-button" type="button" (click)="removeResearchPhoto(photo.id)">
|
||||
Remover
|
||||
</button>
|
||||
</div>
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section class="form-card">
|
||||
<div class="section-head">
|
||||
<h2>Presenças</h2>
|
||||
<p>Lista de pessoas presentes durante a pesquisa, adicionar tantas quanto necessárias</p>
|
||||
</div>
|
||||
|
||||
@for (section of presenceSections; track section.type) {
|
||||
<div class="presence-group">
|
||||
<div class="group-head">
|
||||
<div>
|
||||
<h3>{{ section.title }}</h3>
|
||||
<p>Adicionar ou remover {{ section.singularLabel }}s conforme necessário.</p>
|
||||
</div>
|
||||
<button
|
||||
class="button button--ghost button--small"
|
||||
type="button"
|
||||
(click)="addPresence(section.type)"
|
||||
>
|
||||
{{ section.buttonLabel }}
|
||||
</button>
|
||||
</div>
|
||||
|
||||
@if (!getPresenceEntries(section.type).length) {
|
||||
<p class="empty-state">Sem entradas neste grupo.</p>
|
||||
}
|
||||
|
||||
@for (presence of getPresenceEntries(section.type); track presence.id) {
|
||||
<article class="presence-card">
|
||||
<label class="field">
|
||||
<span>Nome</span>
|
||||
<input [(ngModel)]="presence.name" placeholder="Nome da pessoa presente" />
|
||||
</label>
|
||||
|
||||
<label class="field field--full">
|
||||
<span>Declaracões</span>
|
||||
<textarea
|
||||
[(ngModel)]="presence.info"
|
||||
rows="3"
|
||||
placeholder="O que esta pessoa informou durante a pesquisa."
|
||||
></textarea>
|
||||
</label>
|
||||
|
||||
<button
|
||||
class="link-button link-button--danger"
|
||||
type="button"
|
||||
(click)="removePresence(presence.id)"
|
||||
>
|
||||
Remover entrada
|
||||
</button>
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
}
|
||||
</section>
|
||||
|
||||
<section class="form-card">
|
||||
<div class="section-head">
|
||||
<h2>Inicio da pesquisa</h2>
|
||||
<p>Linhas adicionaveis com combobox para escolher o metodo.</p>
|
||||
</div>
|
||||
|
||||
<div class="group-head group-head--section">
|
||||
<div>
|
||||
<h3>Métodos do inicio</h3>
|
||||
<p>Escolhe uma opcao da lista e completa a descrição se necessario.</p>
|
||||
</div>
|
||||
<button
|
||||
class="button button--ghost button--small"
|
||||
type="button"
|
||||
(click)="addTechniqueBlock('inicioPesquisa')"
|
||||
>
|
||||
Adicionar linha
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="tech-grid">
|
||||
@for (item of form.inicioPesquisa; track item.id) {
|
||||
<article class="tech-card" [class.is-selected]="!!item.name">
|
||||
<div class="tech-card__top">
|
||||
<label class="field field--full">
|
||||
<span>Metodo</span>
|
||||
<select [(ngModel)]="item.name">
|
||||
<option value="">Escolher metodo...</option>
|
||||
@for (option of techniqueOptions; track option) {
|
||||
<option [value]="option">{{ option }}</option>
|
||||
}
|
||||
</select>
|
||||
</label>
|
||||
|
||||
<button
|
||||
class="link-button link-button--danger"
|
||||
type="button"
|
||||
(click)="removeTechniqueBlock('inicioPesquisa', item.id)"
|
||||
>
|
||||
Remover linha
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<label class="field field--full">
|
||||
<span>Descricao</span>
|
||||
<textarea
|
||||
[(ngModel)]="item.description"
|
||||
rows="3"
|
||||
[disabled]="!item.name"
|
||||
placeholder="Descricao desta etapa inicial."
|
||||
></textarea>
|
||||
</label>
|
||||
|
||||
<div class="upload-row">
|
||||
<div>
|
||||
<strong>Fotografias</strong>
|
||||
<p>Galeria para este metodo.</p>
|
||||
</div>
|
||||
<label class="button button--soft" [class.is-disabled]="!item.name">
|
||||
Adicionar
|
||||
<input
|
||||
class="sr-only"
|
||||
type="file"
|
||||
accept=".png,.jpg,.jpeg,.gif,.bmp"
|
||||
multiple
|
||||
[disabled]="!item.name"
|
||||
(change)="onTechniquePhotosSelected($event, item)"
|
||||
/>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
@if (item.photos.length) {
|
||||
<div class="thumb-list">
|
||||
@for (photo of item.photos; track photo.id) {
|
||||
<article class="thumb-card">
|
||||
<img [src]="photo.objectUrl" [alt]="photo.name" />
|
||||
<div class="thumb-card__meta">
|
||||
<strong>{{ photo.name }}</strong>
|
||||
<button
|
||||
class="link-button"
|
||||
type="button"
|
||||
(click)="removeTechniquePhoto(item, photo.id)"
|
||||
>
|
||||
Remover
|
||||
</button>
|
||||
</div>
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
}
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section class="form-card">
|
||||
<div class="section-head">
|
||||
<h2>Levantamento de danos</h2>
|
||||
<p>Linhas adicionaveis com combobox para escolher o metodo.</p>
|
||||
</div>
|
||||
|
||||
<div class="group-head group-head--section">
|
||||
<div>
|
||||
<h3>Metodos do levantamento</h3>
|
||||
<p>Escolhe uma opcao da lista e completa a descricao se necessario.</p>
|
||||
</div>
|
||||
<button
|
||||
class="button button--ghost button--small"
|
||||
type="button"
|
||||
(click)="addTechniqueBlock('tecnicas')"
|
||||
>
|
||||
Adicionar linha
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="tech-grid">
|
||||
@for (item of form.tecnicas; track item.id) {
|
||||
<article class="tech-card" [class.is-selected]="!!item.name">
|
||||
<div class="tech-card__top">
|
||||
<label class="field field--full">
|
||||
<span>Metodo</span>
|
||||
<select [(ngModel)]="item.name">
|
||||
<option value="">Escolher metodo...</option>
|
||||
@for (option of techniqueOptions; track option) {
|
||||
<option [value]="option">{{ option }}</option>
|
||||
}
|
||||
</select>
|
||||
</label>
|
||||
|
||||
<button
|
||||
class="link-button link-button--danger"
|
||||
type="button"
|
||||
(click)="removeTechniqueBlock('tecnicas', item.id)"
|
||||
>
|
||||
Remover linha
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<label class="field field--full">
|
||||
<span>Descricao</span>
|
||||
<textarea
|
||||
[(ngModel)]="item.description"
|
||||
rows="3"
|
||||
[disabled]="!item.name"
|
||||
placeholder="Descricao deste metodo usado no levantamento."
|
||||
></textarea>
|
||||
</label>
|
||||
|
||||
<div class="upload-row">
|
||||
<div>
|
||||
<strong>Fotografias</strong>
|
||||
<p>Galeria para este metodo.</p>
|
||||
</div>
|
||||
<label class="button button--soft" [class.is-disabled]="!item.name">
|
||||
Adicionar
|
||||
<input
|
||||
class="sr-only"
|
||||
type="file"
|
||||
accept=".png,.jpg,.jpeg,.gif,.bmp"
|
||||
multiple
|
||||
[disabled]="!item.name"
|
||||
(change)="onTechniquePhotosSelected($event, item)"
|
||||
/>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
@if (item.photos.length) {
|
||||
<div class="thumb-list">
|
||||
@for (photo of item.photos; track photo.id) {
|
||||
<article class="thumb-card">
|
||||
<img [src]="photo.objectUrl" [alt]="photo.name" />
|
||||
<div class="thumb-card__meta">
|
||||
<strong>{{ photo.name }}</strong>
|
||||
<button
|
||||
class="link-button"
|
||||
type="button"
|
||||
(click)="removeTechniquePhoto(item, photo.id)"
|
||||
>
|
||||
Remover
|
||||
</button>
|
||||
</div>
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
}
|
||||
</article>
|
||||
}
|
||||
</div>
|
||||
</section>
|
||||
</aside>
|
||||
|
||||
<section class="workspace__preview">
|
||||
<div class="preview-head">
|
||||
<div>
|
||||
<p class="eyebrow">Preview</p>
|
||||
<h2>Relatório em tempo real</h2>
|
||||
</div>
|
||||
<p class="preview-note"></p>
|
||||
</div>
|
||||
|
||||
<div class="word-preview-shell">
|
||||
<div #wordPreviewStyles class="word-preview-styles" aria-hidden="true"></div>
|
||||
|
||||
@if (isPreviewRendering) {
|
||||
<div class="preview-banner">
|
||||
<span class="preview-dot"></span>
|
||||
A atualizar o documento Word...
|
||||
</div>
|
||||
}
|
||||
|
||||
@if (previewErrorMessage) {
|
||||
<div class="preview-banner preview-banner--error">
|
||||
{{ previewErrorMessage }}
|
||||
</div>
|
||||
}
|
||||
|
||||
<div #wordPreview class="word-preview-host"></div>
|
||||
</div>
|
||||
</section>
|
||||
</main>
|
||||
@@ -0,0 +1,3 @@
|
||||
import { Routes } from '@angular/router';
|
||||
|
||||
export const routes: Routes = [];
|
||||
@@ -0,0 +1,25 @@
|
||||
import { TestBed } from '@angular/core/testing';
|
||||
import { App } from './app';
|
||||
|
||||
describe('App', () => {
|
||||
beforeEach(async () => {
|
||||
await TestBed.configureTestingModule({
|
||||
imports: [App],
|
||||
}).compileComponents();
|
||||
});
|
||||
|
||||
it('should create the app', () => {
|
||||
const fixture = TestBed.createComponent(App);
|
||||
const app = fixture.componentInstance;
|
||||
expect(app).toBeTruthy();
|
||||
});
|
||||
|
||||
it('should render workspace title and primary action', async () => {
|
||||
const fixture = TestBed.createComponent(App);
|
||||
fixture.detectChanges();
|
||||
await fixture.whenStable();
|
||||
const compiled = fixture.nativeElement as HTMLElement;
|
||||
expect(compiled.querySelector('.eyebrow')?.textContent).toContain('V-aguatech Report Creator');
|
||||
expect(compiled.querySelector('.button--primary')?.textContent).toContain('Gerar Word');
|
||||
});
|
||||
});
|
||||
+376
@@ -0,0 +1,376 @@
|
||||
import { AfterViewInit, Component, ElementRef, OnDestroy, ViewChild } from '@angular/core';
|
||||
import { FormsModule } from '@angular/forms';
|
||||
|
||||
import {
|
||||
createInitialReportForm,
|
||||
createPresenceEntry,
|
||||
createTechniqueBlock,
|
||||
PresenceEntry,
|
||||
PresenceType,
|
||||
PRESENCE_SECTIONS,
|
||||
ReportFormModel,
|
||||
TECHNIQUE_OPTIONS,
|
||||
TechniqueBlock,
|
||||
UploadedImage
|
||||
} from './report.models';
|
||||
|
||||
type TechniqueCollectionKey = 'inicioPesquisa' | 'tecnicas';
|
||||
|
||||
@Component({
|
||||
selector: 'app-root',
|
||||
imports: [FormsModule],
|
||||
templateUrl: './app.html',
|
||||
styleUrl: './app.css'
|
||||
})
|
||||
export class App implements AfterViewInit, OnDestroy {
|
||||
readonly presenceSections = PRESENCE_SECTIONS;
|
||||
readonly techniqueOptions = TECHNIQUE_OPTIONS;
|
||||
|
||||
@ViewChild('wordPreview') private readonly wordPreviewRef?: ElementRef<HTMLDivElement>;
|
||||
@ViewChild('wordPreviewStyles') private readonly wordPreviewStylesRef?: ElementRef<HTMLDivElement>;
|
||||
|
||||
form: ReportFormModel = createInitialReportForm();
|
||||
statusMessage = 'Word interativo a medida que preenche o formulario.';
|
||||
statusTone: 'info' | 'success' | 'error' = 'info';
|
||||
isExporting = false;
|
||||
isPreviewRendering = false;
|
||||
previewErrorMessage = '';
|
||||
|
||||
private readonly supportedExtensions = new Set(['png', 'jpg', 'jpeg', 'gif', 'bmp']);
|
||||
private readonly supportedMimeTypes = new Set([
|
||||
'image/png',
|
||||
'image/jpeg',
|
||||
'image/jpg',
|
||||
'image/gif',
|
||||
'image/bmp'
|
||||
]);
|
||||
|
||||
private previewRenderTimer: ReturnType<typeof setTimeout> | null = null;
|
||||
private previewRenderRequestId = 0;
|
||||
|
||||
ngAfterViewInit(): void {
|
||||
this.queuePreviewRender(0);
|
||||
}
|
||||
|
||||
ngOnDestroy(): void {
|
||||
if (this.previewRenderTimer) {
|
||||
clearTimeout(this.previewRenderTimer);
|
||||
this.previewRenderTimer = null;
|
||||
}
|
||||
|
||||
this.previewRenderRequestId += 1;
|
||||
this.revokeFormImages(this.form);
|
||||
}
|
||||
|
||||
queuePreviewRender(delay = 250): void {
|
||||
if (this.previewRenderTimer) {
|
||||
clearTimeout(this.previewRenderTimer);
|
||||
}
|
||||
|
||||
this.previewRenderTimer = setTimeout(() => {
|
||||
this.previewRenderTimer = null;
|
||||
void this.renderWordPreview();
|
||||
}, delay);
|
||||
}
|
||||
|
||||
getPresenceEntries(type: PresenceType): PresenceEntry[] {
|
||||
return this.form.presencas.filter((item) => item.type === type);
|
||||
}
|
||||
|
||||
addPresence(type: PresenceType): void {
|
||||
this.form.presencas = [...this.form.presencas, createPresenceEntry(type)];
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
removePresence(id: string): void {
|
||||
this.form.presencas = this.form.presencas.filter((item) => item.id !== id);
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
addTechniqueBlock(section: TechniqueCollectionKey): void {
|
||||
this.form[section] = [...this.form[section], createTechniqueBlock()];
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
removeTechniqueBlock(section: TechniqueCollectionKey, id: string): void {
|
||||
const block = this.form[section].find((item) => item.id === id);
|
||||
if (!block) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.revokeImages(block.photos);
|
||||
this.form[section] = this.form[section].filter((item) => item.id !== id);
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
async onMainPhotoSelected(event: Event): Promise<void> {
|
||||
try {
|
||||
const files = this.extractFiles(event);
|
||||
if (!files.length) {
|
||||
return;
|
||||
}
|
||||
|
||||
const [image] = await this.readImages(files);
|
||||
if (!image) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.revokeImage(this.form.fotoImovel);
|
||||
this.form.fotoImovel = image;
|
||||
this.setStatus(`Fotografia principal carregada: ${image.name}`, 'success');
|
||||
this.queuePreviewRender();
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
this.setStatus('Nao foi possivel carregar a fotografia principal.', 'error');
|
||||
}
|
||||
}
|
||||
|
||||
async onResearchPhotosSelected(event: Event): Promise<void> {
|
||||
try {
|
||||
const files = this.extractFiles(event);
|
||||
if (!files.length) {
|
||||
return;
|
||||
}
|
||||
|
||||
const images = await this.readImages(files);
|
||||
this.form.fotosPesquisa = [...this.form.fotosPesquisa, ...images];
|
||||
this.setStatus(`${images.length} fotografia(s) adicionadas a pesquisa.`, 'success');
|
||||
this.queuePreviewRender();
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
this.setStatus('Nao foi possivel carregar as fotografias da pesquisa.', 'error');
|
||||
}
|
||||
}
|
||||
|
||||
async onTechniquePhotosSelected(event: Event, block: TechniqueBlock): Promise<void> {
|
||||
try {
|
||||
const files = this.extractFiles(event);
|
||||
if (!files.length) {
|
||||
return;
|
||||
}
|
||||
|
||||
const images = await this.readImages(files);
|
||||
block.photos = [...block.photos, ...images];
|
||||
this.setStatus(`${images.length} fotografia(s) adicionadas a "${block.name}".`, 'success');
|
||||
this.queuePreviewRender();
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
this.setStatus(`Nao foi possivel carregar as fotografias de "${block.name}".`, 'error');
|
||||
}
|
||||
}
|
||||
|
||||
clearMainPhoto(): void {
|
||||
this.revokeImage(this.form.fotoImovel);
|
||||
this.form.fotoImovel = null;
|
||||
this.setStatus('Fotografia principal removida.', 'info');
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
removeResearchPhoto(photoId: string): void {
|
||||
const photo = this.form.fotosPesquisa.find((item) => item.id === photoId);
|
||||
if (!photo) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.revokeImage(photo);
|
||||
this.form.fotosPesquisa = this.form.fotosPesquisa.filter((item) => item.id !== photoId);
|
||||
this.setStatus('Fotografia removida da descricao da pesquisa.', 'info');
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
removeTechniquePhoto(block: TechniqueBlock, photoId: string): void {
|
||||
const photo = block.photos.find((item) => item.id === photoId);
|
||||
if (!photo) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.revokeImage(photo);
|
||||
block.photos = block.photos.filter((item) => item.id !== photoId);
|
||||
this.setStatus(`Fotografia removida de "${block.name}".`, 'info');
|
||||
this.queuePreviewRender();
|
||||
}
|
||||
|
||||
resetForm(): void {
|
||||
this.revokeFormImages(this.form);
|
||||
this.form = createInitialReportForm();
|
||||
this.setStatus('Formulario limpo. A pre-visualizacao foi reiniciada.', 'info');
|
||||
this.queuePreviewRender(0);
|
||||
}
|
||||
|
||||
async downloadWord(): Promise<void> {
|
||||
this.isExporting = true;
|
||||
|
||||
try {
|
||||
const { buildOutputFilename, buildReportBlob } = await import('./report-docx');
|
||||
const blob = await buildReportBlob(this.form, 'download');
|
||||
const filename = buildOutputFilename();
|
||||
this.saveBlob(blob, filename);
|
||||
this.setStatus(`Documento Word gerado: ${filename}`, 'success');
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
this.setStatus('Nao foi possivel gerar o ficheiro Word.', 'error');
|
||||
} finally {
|
||||
this.isExporting = false;
|
||||
}
|
||||
}
|
||||
|
||||
private extractFiles(event: Event): File[] {
|
||||
const input = event.target as HTMLInputElement;
|
||||
const files = Array.from(input.files ?? []);
|
||||
input.value = '';
|
||||
return files;
|
||||
}
|
||||
|
||||
private async readImages(files: File[]): Promise<UploadedImage[]> {
|
||||
return Promise.all(files.map((file) => this.readImage(file)));
|
||||
}
|
||||
|
||||
private async readImage(file: File): Promise<UploadedImage> {
|
||||
this.assertSupportedImage(file);
|
||||
|
||||
const objectUrl = URL.createObjectURL(file);
|
||||
|
||||
try {
|
||||
const dimensions = await this.measureImage(objectUrl);
|
||||
return {
|
||||
id: this.createUiId(file.name),
|
||||
file,
|
||||
name: file.name,
|
||||
objectUrl,
|
||||
width: dimensions.width,
|
||||
height: dimensions.height
|
||||
};
|
||||
} catch (error) {
|
||||
URL.revokeObjectURL(objectUrl);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
private measureImage(objectUrl: string): Promise<{ width: number; height: number }> {
|
||||
return new Promise((resolve, reject) => {
|
||||
const image = new Image();
|
||||
|
||||
image.onload = () => {
|
||||
resolve({
|
||||
width: image.naturalWidth || 1200,
|
||||
height: image.naturalHeight || 900
|
||||
});
|
||||
};
|
||||
|
||||
image.onerror = () => {
|
||||
reject(new Error('Nao foi possivel ler uma das imagens selecionadas.'));
|
||||
};
|
||||
|
||||
image.src = objectUrl;
|
||||
});
|
||||
}
|
||||
|
||||
private async renderWordPreview(): Promise<void> {
|
||||
const bodyContainer = this.wordPreviewRef?.nativeElement;
|
||||
const styleContainer = this.wordPreviewStylesRef?.nativeElement;
|
||||
if (!bodyContainer || !styleContainer) {
|
||||
return;
|
||||
}
|
||||
|
||||
const requestId = ++this.previewRenderRequestId;
|
||||
this.isPreviewRendering = true;
|
||||
this.previewErrorMessage = '';
|
||||
|
||||
try {
|
||||
const [{ buildReportBlob }, { renderAsync }] = await Promise.all([
|
||||
import('./report-docx'),
|
||||
import('docx-preview')
|
||||
]);
|
||||
const blob = await buildReportBlob(this.form, 'preview');
|
||||
|
||||
if (requestId !== this.previewRenderRequestId) {
|
||||
return;
|
||||
}
|
||||
|
||||
bodyContainer.replaceChildren();
|
||||
styleContainer.replaceChildren();
|
||||
|
||||
await renderAsync(blob, bodyContainer, styleContainer, {
|
||||
className: 'docx',
|
||||
inWrapper: true,
|
||||
ignoreWidth: false,
|
||||
ignoreHeight: false,
|
||||
breakPages: true,
|
||||
useBase64URL: true
|
||||
});
|
||||
|
||||
if (requestId !== this.previewRenderRequestId) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.isPreviewRendering = false;
|
||||
} catch (error) {
|
||||
if (requestId !== this.previewRenderRequestId) {
|
||||
return;
|
||||
}
|
||||
|
||||
console.error(error);
|
||||
bodyContainer.replaceChildren();
|
||||
styleContainer.replaceChildren();
|
||||
this.previewErrorMessage = 'Nao foi possivel renderizar o documento Word.';
|
||||
this.isPreviewRendering = false;
|
||||
}
|
||||
}
|
||||
|
||||
private revokeFormImages(form: ReportFormModel): void {
|
||||
this.revokeImage(form.fotoImovel);
|
||||
this.revokeImages(form.fotosPesquisa);
|
||||
|
||||
for (const block of [...form.inicioPesquisa, ...form.tecnicas]) {
|
||||
this.revokeImages(block.photos);
|
||||
}
|
||||
}
|
||||
|
||||
private revokeImage(image: UploadedImage | null): void {
|
||||
if (!image) {
|
||||
return;
|
||||
}
|
||||
|
||||
URL.revokeObjectURL(image.objectUrl);
|
||||
}
|
||||
|
||||
private revokeImages(images: UploadedImage[]): void {
|
||||
for (const image of images) {
|
||||
this.revokeImage(image);
|
||||
}
|
||||
}
|
||||
|
||||
private saveBlob(blob: Blob, filename: string): void {
|
||||
const objectUrl = URL.createObjectURL(blob);
|
||||
const link = document.createElement('a');
|
||||
link.href = objectUrl;
|
||||
link.download = filename;
|
||||
link.click();
|
||||
URL.revokeObjectURL(objectUrl);
|
||||
}
|
||||
|
||||
private createUiId(prefix: string): string {
|
||||
const base = prefix.toLowerCase().replace(/\s+/g, '-');
|
||||
const generated =
|
||||
globalThis.crypto?.randomUUID?.() ??
|
||||
`${Date.now().toString(36)}-${Math.random().toString(36).slice(2, 10)}`;
|
||||
|
||||
return `${base}-${generated}`;
|
||||
}
|
||||
|
||||
private setStatus(message: string, tone: 'info' | 'success' | 'error'): void {
|
||||
this.statusMessage = message;
|
||||
this.statusTone = tone;
|
||||
}
|
||||
|
||||
private assertSupportedImage(file: File): void {
|
||||
const mimeType = file.type.toLowerCase();
|
||||
const extension = file.name.toLowerCase().split('.').pop() ?? '';
|
||||
|
||||
if (this.supportedMimeTypes.has(mimeType) || this.supportedExtensions.has(extension)) {
|
||||
return;
|
||||
}
|
||||
|
||||
throw new Error('Formato de imagem nao suportado. Use PNG, JPG, GIF ou BMP.');
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,760 @@
|
||||
import {
|
||||
AlignmentType,
|
||||
BorderStyle,
|
||||
Document,
|
||||
ExternalHyperlink,
|
||||
Footer,
|
||||
Header,
|
||||
ImageRun,
|
||||
Packer,
|
||||
PageNumber,
|
||||
Paragraph,
|
||||
Table,
|
||||
TableCell,
|
||||
TableLayoutType,
|
||||
TableRow,
|
||||
TextRun,
|
||||
WidthType
|
||||
} from 'docx';
|
||||
|
||||
import {
|
||||
buildPresenceNarrative,
|
||||
collectSelectedMethods,
|
||||
CONCLUSION_PARAGRAPHS,
|
||||
ReportFormModel,
|
||||
splitParagraphs,
|
||||
TECHNICIAN_NAME,
|
||||
TECHNICIAN_NOTE,
|
||||
TechniqueBlock,
|
||||
UploadedImage
|
||||
} from './report.models';
|
||||
|
||||
type SupportedImageType = 'jpg' | 'png' | 'gif' | 'bmp';
|
||||
export type ReportBuildMode = 'preview' | 'download';
|
||||
|
||||
const HEADER_LOGO_PATH = 'brand-header.png';
|
||||
const HEADER_LOGO_SIZE = { width: 176, height: 33 };
|
||||
const FOOTER_PAGE_DROP_PATH = 'footer-page-drop-cropped.png';
|
||||
const FOOTER_PAGE_DROP_SIZE = { width: 31, height: 46 };
|
||||
const TEMPLATE_FOOTER_XML_PATH = 'template-footer1.xml';
|
||||
const TEMPLATE_FOOTER_RELS_PATH = 'template-footer1.xml.rels';
|
||||
const TEMPLATE_FOOTER_IMAGE_PATH = 'footer-page-drop.jpeg';
|
||||
const FOOTER_SITE_URL = 'https://v-aguatech.com';
|
||||
const FOOTER_LINK_CELL_WIDTH = 91;
|
||||
const FOOTER_PAGE_CELL_WIDTH = 9;
|
||||
const FOOTER_PAGE_NUMBER_OFFSET = -560;
|
||||
|
||||
let headerLogoDataPromise: Promise<ArrayBuffer> | null = null;
|
||||
let footerPageDropDataPromise: Promise<ArrayBuffer> | null = null;
|
||||
let templateFooterXmlPromise: Promise<string> | null = null;
|
||||
let templateFooterRelsPromise: Promise<string> | null = null;
|
||||
|
||||
export async function buildReportBlob(
|
||||
form: ReportFormModel,
|
||||
mode: ReportBuildMode = 'preview'
|
||||
): Promise<Blob> {
|
||||
const [header, footer] = await Promise.all([
|
||||
createDocumentHeader(),
|
||||
createDocumentFooter()
|
||||
]);
|
||||
const children: Array<Paragraph | Table> = [];
|
||||
const presenceNarrative = buildPresenceNarrative(form.presencas);
|
||||
|
||||
children.push(createSummaryTable(form));
|
||||
children.push(createSpacer(240));
|
||||
children.push(createTitle('Relatório da pesquisa não destrutiva de fugas'));
|
||||
|
||||
children.push(createSectionHeading('Descrição do imóvel'));
|
||||
children.push(
|
||||
createBodyParagraph(form.descricaoImovel || 'Sem descrição do imóvel preenchida.')
|
||||
);
|
||||
children.push(
|
||||
createLeadParagraph('Ano de construção: ', form.anoConstrucao || 'Por preencher')
|
||||
);
|
||||
|
||||
if (form.fotoImovel) {
|
||||
children.push(await createMainImageParagraph(form.fotoImovel));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Presentes aquando da pesquisa'));
|
||||
|
||||
if (presenceNarrative.header) {
|
||||
children.push(createBodyParagraph(presenceNarrative.header));
|
||||
} else {
|
||||
children.push(createBodyParagraph('Sem presenças registadas.'));
|
||||
}
|
||||
|
||||
for (const detail of presenceNarrative.details) {
|
||||
children.push(createBodyParagraph(detail));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Descrição da pesquisa'));
|
||||
|
||||
const descriptionParagraphs = splitParagraphs(form.descricaoPesquisa);
|
||||
if (descriptionParagraphs.length) {
|
||||
for (const paragraph of descriptionParagraphs) {
|
||||
children.push(createBodyParagraph(paragraph));
|
||||
}
|
||||
} else {
|
||||
children.push(createBodyParagraph('Sem descrição da pesquisa preenchida.'));
|
||||
}
|
||||
|
||||
if (form.fotosPesquisa.length) {
|
||||
children.push(...(await createImageGalleryParagraphs(form.fotosPesquisa, 260, 180)));
|
||||
}
|
||||
|
||||
children.push(createLeadParagraph('Área do espaço: ', `${form.area || 'Por preencher'} m²`));
|
||||
|
||||
children.push(createSectionHeading('Início da pesquisa'));
|
||||
const introBlocks = form.inicioPesquisa.filter((item) => !!item.name.trim());
|
||||
if (introBlocks.length) {
|
||||
children.push(...(await createTechniqueParagraphs(introBlocks)));
|
||||
} else {
|
||||
children.push(createBodyParagraph('Nenhum item selecionado.'));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Levantamento de danos'));
|
||||
const damageBlocks = form.tecnicas.filter((item) => !!item.name.trim());
|
||||
if (damageBlocks.length) {
|
||||
children.push(...(await createTechniqueParagraphs(damageBlocks)));
|
||||
} else {
|
||||
children.push(createBodyParagraph('Nenhum item selecionado.'));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Conclusão'));
|
||||
for (const paragraph of CONCLUSION_PARAGRAPHS) {
|
||||
children.push(createBodyParagraph(paragraph));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Informações gerais do técnico'));
|
||||
children.push(createBodyParagraph(TECHNICIAN_NOTE));
|
||||
|
||||
children.push(createSectionHeading('Métodos utilizados'));
|
||||
const methods = collectSelectedMethods(form);
|
||||
if (methods.length) {
|
||||
for (const method of methods) {
|
||||
children.push(createMethodParagraph(method));
|
||||
}
|
||||
} else {
|
||||
children.push(createBodyParagraph('Sem métodos assinalados.'));
|
||||
}
|
||||
|
||||
children.push(createSectionHeading('Técnico'));
|
||||
children.push(createLeadParagraph('', TECHNICIAN_NAME));
|
||||
|
||||
const wordDocument = new Document({
|
||||
creator: 'Codex',
|
||||
title: 'Relatório V-aguatech',
|
||||
description: 'Relatório da pesquisa não destrutiva de fugas',
|
||||
styles: {
|
||||
default: {
|
||||
document: {
|
||||
run: {
|
||||
font: 'Verdana',
|
||||
size: 20,
|
||||
color: '666666'
|
||||
},
|
||||
paragraph: {
|
||||
spacing: {
|
||||
line: 276
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
sections: [
|
||||
{
|
||||
properties: {
|
||||
page: {
|
||||
margin: {
|
||||
top: 1417,
|
||||
right: 1701,
|
||||
bottom: 1417,
|
||||
left: 1701,
|
||||
header: 708,
|
||||
footer: 708
|
||||
}
|
||||
}
|
||||
},
|
||||
headers: {
|
||||
default: header
|
||||
},
|
||||
footers: {
|
||||
default: footer
|
||||
},
|
||||
children
|
||||
}
|
||||
]
|
||||
});
|
||||
|
||||
const blob = await Packer.toBlob(wordDocument);
|
||||
if (mode === 'download') {
|
||||
return applyTemplateFooter(blob);
|
||||
}
|
||||
|
||||
return blob;
|
||||
}
|
||||
|
||||
export function buildOutputFilename(): string {
|
||||
const now = new Date();
|
||||
const date = [
|
||||
now.getFullYear(),
|
||||
pad(now.getMonth() + 1),
|
||||
pad(now.getDate())
|
||||
].join('-');
|
||||
const time = [pad(now.getHours()), pad(now.getMinutes()), pad(now.getSeconds())].join('-');
|
||||
|
||||
return `${date}_${time}.docx`;
|
||||
}
|
||||
|
||||
function createSummaryTable(form: ReportFormModel): Table {
|
||||
return new Table({
|
||||
width: {
|
||||
size: 100,
|
||||
type: WidthType.PERCENTAGE
|
||||
},
|
||||
layout: TableLayoutType.FIXED,
|
||||
borders: createTableBorders(),
|
||||
rows: [
|
||||
createSummaryRow('Nº do Processo', form.nproc, 'Segurado', form.segurado),
|
||||
createSummaryRow('Companhia', form.companhia, 'Terceiro', form.terceiro),
|
||||
createSummaryRow('Data da visita', form.dataVisita, 'Local da visita', form.localVisita)
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createSummaryRow(
|
||||
leftLabel: string,
|
||||
leftValue: string,
|
||||
rightLabel: string,
|
||||
rightValue: string
|
||||
): TableRow {
|
||||
return new TableRow({
|
||||
children: [
|
||||
createSummaryCell(leftLabel, leftValue),
|
||||
createSummaryCell(rightLabel, rightValue)
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createSummaryCell(label: string, value: string): TableCell {
|
||||
return new TableCell({
|
||||
width: {
|
||||
size: 50,
|
||||
type: WidthType.PERCENTAGE
|
||||
},
|
||||
children: [
|
||||
new Paragraph({
|
||||
spacing: {
|
||||
before: 120,
|
||||
after: 120
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text: `${label}: `,
|
||||
bold: true,
|
||||
color: '808080'
|
||||
}),
|
||||
new TextRun({
|
||||
text: value || 'Por preencher',
|
||||
color: value ? '666666' : '9A9A9A'
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createTitle(text: string): Paragraph {
|
||||
return new Paragraph({
|
||||
spacing: {
|
||||
after: 240
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text,
|
||||
bold: true,
|
||||
color: '4A66AC',
|
||||
size: 28
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createSectionHeading(text: string): Paragraph {
|
||||
return new Paragraph({
|
||||
spacing: {
|
||||
before: 220,
|
||||
after: 120
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text,
|
||||
bold: true,
|
||||
italics: true,
|
||||
color: '4A66AC'
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createLeadParagraph(label: string, value: string): Paragraph {
|
||||
return new Paragraph({
|
||||
alignment: AlignmentType.JUSTIFIED,
|
||||
children: [
|
||||
new TextRun({
|
||||
text: label,
|
||||
bold: !!label,
|
||||
color: label ? '4A66AC' : '666666'
|
||||
}),
|
||||
new TextRun({
|
||||
text: value,
|
||||
color: value === 'Por preencher' ? '9A9A9A' : '666666'
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createBodyParagraph(text: string): Paragraph {
|
||||
return new Paragraph({
|
||||
alignment: AlignmentType.JUSTIFIED,
|
||||
spacing: {
|
||||
after: 80
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text,
|
||||
color: '666666'
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
function createMethodParagraph(text: string): Paragraph {
|
||||
return new Paragraph({
|
||||
bullet: {
|
||||
level: 0
|
||||
},
|
||||
spacing: {
|
||||
after: 50
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text,
|
||||
color: '666666'
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
async function createDocumentHeader(): Promise<Header> {
|
||||
const logoData = await loadHeaderLogoData();
|
||||
|
||||
return new Header({
|
||||
children: [
|
||||
new Paragraph({
|
||||
alignment: AlignmentType.RIGHT,
|
||||
spacing: {
|
||||
after: 0
|
||||
},
|
||||
children: [
|
||||
new ImageRun({
|
||||
type: 'png',
|
||||
data: logoData,
|
||||
transformation: HEADER_LOGO_SIZE
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
async function createDocumentFooter(): Promise<Footer> {
|
||||
const pageDropData = await loadFooterPageDropData();
|
||||
|
||||
return new Footer({
|
||||
children: [
|
||||
new Table({
|
||||
width: {
|
||||
size: 100,
|
||||
type: WidthType.PERCENTAGE
|
||||
},
|
||||
layout: TableLayoutType.FIXED,
|
||||
borders: createBorderlessTableBorders(),
|
||||
rows: [
|
||||
new TableRow({
|
||||
children: [
|
||||
new TableCell({
|
||||
width: {
|
||||
size: FOOTER_LINK_CELL_WIDTH,
|
||||
type: WidthType.PERCENTAGE
|
||||
},
|
||||
borders: createBorderlessTableBorders(),
|
||||
children: [
|
||||
new Paragraph({
|
||||
spacing: {
|
||||
before: 0,
|
||||
after: 0
|
||||
},
|
||||
children: [
|
||||
new ExternalHyperlink({
|
||||
link: FOOTER_SITE_URL,
|
||||
children: [
|
||||
new TextRun({
|
||||
text: FOOTER_SITE_URL,
|
||||
color: '4A66AC',
|
||||
size: 18
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
}),
|
||||
new TableCell({
|
||||
width: {
|
||||
size: FOOTER_PAGE_CELL_WIDTH,
|
||||
type: WidthType.PERCENTAGE
|
||||
},
|
||||
borders: createBorderlessTableBorders(),
|
||||
children: [
|
||||
new Paragraph({
|
||||
alignment: AlignmentType.CENTER,
|
||||
spacing: {
|
||||
before: 0,
|
||||
after: 0
|
||||
},
|
||||
children: [
|
||||
new ImageRun({
|
||||
type: 'png',
|
||||
data: pageDropData,
|
||||
transformation: FOOTER_PAGE_DROP_SIZE
|
||||
})
|
||||
]
|
||||
}),
|
||||
new Paragraph({
|
||||
alignment: AlignmentType.CENTER,
|
||||
spacing: {
|
||||
before: FOOTER_PAGE_NUMBER_OFFSET,
|
||||
after: 0
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
color: 'FFFFFF',
|
||||
bold: true,
|
||||
size: 20,
|
||||
children: [PageNumber.CURRENT]
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
|
||||
async function createMainImageParagraph(image: UploadedImage): Promise<Paragraph> {
|
||||
const imageRun = await createImageRun(image, 620, 360);
|
||||
return new Paragraph({
|
||||
alignment: AlignmentType.CENTER,
|
||||
spacing: {
|
||||
before: 120,
|
||||
after: 160
|
||||
},
|
||||
children: [imageRun]
|
||||
});
|
||||
}
|
||||
|
||||
async function createTechniqueParagraphs(blocks: TechniqueBlock[]): Promise<Paragraph[]> {
|
||||
const paragraphs: Paragraph[] = [];
|
||||
|
||||
for (const block of blocks) {
|
||||
paragraphs.push(
|
||||
new Paragraph({
|
||||
spacing: {
|
||||
before: 140,
|
||||
after: 60
|
||||
},
|
||||
children: [
|
||||
new TextRun({
|
||||
text: block.name,
|
||||
bold: true,
|
||||
color: '4A66AC',
|
||||
size: 22
|
||||
})
|
||||
]
|
||||
})
|
||||
);
|
||||
|
||||
if (block.description.trim()) {
|
||||
for (const paragraph of splitParagraphs(block.description)) {
|
||||
paragraphs.push(createBodyParagraph(paragraph));
|
||||
}
|
||||
}
|
||||
|
||||
if (block.photos.length) {
|
||||
paragraphs.push(...(await createImageGalleryParagraphs(block.photos, 240, 180)));
|
||||
}
|
||||
}
|
||||
|
||||
return paragraphs;
|
||||
}
|
||||
|
||||
async function createImageGalleryParagraphs(
|
||||
images: UploadedImage[],
|
||||
maxWidth: number,
|
||||
maxHeight: number
|
||||
): Promise<Paragraph[]> {
|
||||
const paragraphs: Paragraph[] = [];
|
||||
|
||||
for (let index = 0; index < images.length; index += 2) {
|
||||
const currentRow = images.slice(index, index + 2);
|
||||
const children: Array<TextRun | ImageRun> = [];
|
||||
|
||||
for (let imageIndex = 0; imageIndex < currentRow.length; imageIndex += 1) {
|
||||
const image = currentRow[imageIndex];
|
||||
if (!image) {
|
||||
continue;
|
||||
}
|
||||
|
||||
children.push(await createImageRun(image, maxWidth, maxHeight));
|
||||
|
||||
if (imageIndex < currentRow.length - 1) {
|
||||
children.push(
|
||||
new TextRun({
|
||||
text: ' '
|
||||
})
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
paragraphs.push(
|
||||
new Paragraph({
|
||||
alignment: AlignmentType.CENTER,
|
||||
spacing: {
|
||||
before: 80,
|
||||
after: 120
|
||||
},
|
||||
children
|
||||
})
|
||||
);
|
||||
}
|
||||
|
||||
return paragraphs;
|
||||
}
|
||||
|
||||
async function createImageRun(
|
||||
image: UploadedImage,
|
||||
maxWidth: number,
|
||||
maxHeight: number
|
||||
): Promise<ImageRun> {
|
||||
const data = await image.file.arrayBuffer();
|
||||
const size = scaleDimensions(image.width, image.height, maxWidth, maxHeight);
|
||||
const type = getImageType(image.file);
|
||||
|
||||
return new ImageRun({
|
||||
type,
|
||||
data,
|
||||
transformation: size
|
||||
});
|
||||
}
|
||||
|
||||
function scaleDimensions(
|
||||
width: number,
|
||||
height: number,
|
||||
maxWidth: number,
|
||||
maxHeight: number
|
||||
): { width: number; height: number } {
|
||||
if (width <= maxWidth && height <= maxHeight) {
|
||||
return { width, height };
|
||||
}
|
||||
|
||||
const ratio = Math.min(maxWidth / width, maxHeight / height);
|
||||
return {
|
||||
width: Math.max(1, Math.round(width * ratio)),
|
||||
height: Math.max(1, Math.round(height * ratio))
|
||||
};
|
||||
}
|
||||
|
||||
function createSpacer(after: number): Paragraph {
|
||||
return new Paragraph({
|
||||
spacing: {
|
||||
after
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
function createTableBorders() {
|
||||
return {
|
||||
top: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' },
|
||||
bottom: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' },
|
||||
left: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' },
|
||||
right: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' },
|
||||
insideHorizontal: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' },
|
||||
insideVertical: { style: BorderStyle.SINGLE, size: 4, color: '4A66AC' }
|
||||
};
|
||||
}
|
||||
|
||||
function createBorderlessTableBorders() {
|
||||
return {
|
||||
top: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' },
|
||||
bottom: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' },
|
||||
left: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' },
|
||||
right: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' },
|
||||
insideHorizontal: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' },
|
||||
insideVertical: { style: BorderStyle.NONE, size: 0, color: 'FFFFFF' }
|
||||
};
|
||||
}
|
||||
|
||||
function pad(value: number): string {
|
||||
return value.toString().padStart(2, '0');
|
||||
}
|
||||
|
||||
async function loadHeaderLogoData(): Promise<ArrayBuffer> {
|
||||
if (!headerLogoDataPromise) {
|
||||
headerLogoDataPromise = loadPublicAssetData(HEADER_LOGO_PATH, 'logo do cabecalho').catch(
|
||||
(error) => {
|
||||
headerLogoDataPromise = null;
|
||||
throw error;
|
||||
}
|
||||
);
|
||||
}
|
||||
|
||||
return headerLogoDataPromise;
|
||||
}
|
||||
|
||||
async function loadFooterPageDropData(): Promise<ArrayBuffer> {
|
||||
if (!footerPageDropDataPromise) {
|
||||
footerPageDropDataPromise = loadPublicAssetData(
|
||||
FOOTER_PAGE_DROP_PATH,
|
||||
'imagem do footer'
|
||||
).catch((error) => {
|
||||
footerPageDropDataPromise = null;
|
||||
throw error;
|
||||
});
|
||||
}
|
||||
|
||||
return footerPageDropDataPromise;
|
||||
}
|
||||
|
||||
async function loadTemplateFooterXml(): Promise<string> {
|
||||
if (!templateFooterXmlPromise) {
|
||||
templateFooterXmlPromise = loadPublicTextAsset(
|
||||
TEMPLATE_FOOTER_XML_PATH,
|
||||
'template XML do footer'
|
||||
).catch((error) => {
|
||||
templateFooterXmlPromise = null;
|
||||
throw error;
|
||||
});
|
||||
}
|
||||
|
||||
return templateFooterXmlPromise;
|
||||
}
|
||||
|
||||
async function loadTemplateFooterRels(): Promise<string> {
|
||||
if (!templateFooterRelsPromise) {
|
||||
templateFooterRelsPromise = loadPublicTextAsset(
|
||||
TEMPLATE_FOOTER_RELS_PATH,
|
||||
'template de relacoes do footer'
|
||||
).catch((error) => {
|
||||
templateFooterRelsPromise = null;
|
||||
throw error;
|
||||
});
|
||||
}
|
||||
|
||||
return templateFooterRelsPromise;
|
||||
}
|
||||
|
||||
async function loadPublicAssetData(assetPath: string, assetLabel: string): Promise<ArrayBuffer> {
|
||||
const baseUri = globalThis.document?.baseURI ?? globalThis.location?.href;
|
||||
if (!baseUri) {
|
||||
throw new Error(`Nao foi possivel resolver ${assetLabel}.`);
|
||||
}
|
||||
|
||||
const assetUrl = new URL(assetPath, baseUri).toString();
|
||||
const response = await fetch(assetUrl);
|
||||
if (!response.ok) {
|
||||
throw new Error(`Nao foi possivel carregar ${assetLabel} (${response.status}).`);
|
||||
}
|
||||
|
||||
return response.arrayBuffer();
|
||||
}
|
||||
|
||||
async function loadPublicTextAsset(assetPath: string, assetLabel: string): Promise<string> {
|
||||
const baseUri = globalThis.document?.baseURI ?? globalThis.location?.href;
|
||||
if (!baseUri) {
|
||||
throw new Error(`Nao foi possivel resolver ${assetLabel}.`);
|
||||
}
|
||||
|
||||
const assetUrl = new URL(assetPath, baseUri).toString();
|
||||
const response = await fetch(assetUrl);
|
||||
if (!response.ok) {
|
||||
throw new Error(`Nao foi possivel carregar ${assetLabel} (${response.status}).`);
|
||||
}
|
||||
|
||||
return response.text();
|
||||
}
|
||||
|
||||
async function applyTemplateFooter(blob: Blob): Promise<Blob> {
|
||||
const [{ default: JSZip }, footerXml, footerRels, footerImage] = await Promise.all([
|
||||
import('jszip'),
|
||||
loadTemplateFooterXml(),
|
||||
loadTemplateFooterRels(),
|
||||
loadPublicAssetData(TEMPLATE_FOOTER_IMAGE_PATH, 'imagem original do footer')
|
||||
]);
|
||||
|
||||
const zip = await JSZip.loadAsync(await blob.arrayBuffer());
|
||||
zip.file('word/footer1.xml', footerXml);
|
||||
zip.file('word/_rels/footer1.xml.rels', footerRels);
|
||||
zip.file('word/media/image2.jpeg', footerImage);
|
||||
|
||||
const contentTypesEntry = zip.file('[Content_Types].xml');
|
||||
if (contentTypesEntry) {
|
||||
const contentTypesXml = await contentTypesEntry.async('string');
|
||||
if (!contentTypesXml.includes('Extension="jpeg"')) {
|
||||
const patchedContentTypesXml = contentTypesXml.replace(
|
||||
'</Types>',
|
||||
'<Default Extension="jpeg" ContentType="image/jpeg"/></Types>'
|
||||
);
|
||||
zip.file('[Content_Types].xml', patchedContentTypesXml);
|
||||
}
|
||||
}
|
||||
|
||||
return zip.generateAsync({ type: 'blob' });
|
||||
}
|
||||
|
||||
function getImageType(file: File): SupportedImageType {
|
||||
const mimeType = file.type.toLowerCase();
|
||||
if (mimeType === 'image/png') {
|
||||
return 'png';
|
||||
}
|
||||
if (mimeType === 'image/jpeg' || mimeType === 'image/jpg') {
|
||||
return 'jpg';
|
||||
}
|
||||
if (mimeType === 'image/gif') {
|
||||
return 'gif';
|
||||
}
|
||||
if (mimeType === 'image/bmp') {
|
||||
return 'bmp';
|
||||
}
|
||||
|
||||
const extension = file.name.toLowerCase().split('.').pop();
|
||||
if (extension === 'png') {
|
||||
return 'png';
|
||||
}
|
||||
if (extension === 'jpg' || extension === 'jpeg') {
|
||||
return 'jpg';
|
||||
}
|
||||
if (extension === 'gif') {
|
||||
return 'gif';
|
||||
}
|
||||
if (extension === 'bmp') {
|
||||
return 'bmp';
|
||||
}
|
||||
|
||||
throw new Error('Formato de imagem não suportado. Use PNG, JPG, GIF ou BMP.');
|
||||
}
|
||||
@@ -0,0 +1,222 @@
|
||||
export type PresenceType = 'segurado' | 'lesado';
|
||||
|
||||
export interface UploadedImage {
|
||||
id: string;
|
||||
file: File;
|
||||
name: string;
|
||||
objectUrl: string;
|
||||
width: number;
|
||||
height: number;
|
||||
}
|
||||
|
||||
export interface TechniqueBlock {
|
||||
id: string;
|
||||
name: string;
|
||||
description: string;
|
||||
photos: UploadedImage[];
|
||||
}
|
||||
|
||||
export interface PresenceEntry {
|
||||
id: string;
|
||||
type: PresenceType;
|
||||
name: string;
|
||||
info: string;
|
||||
}
|
||||
|
||||
export interface ReportFormModel {
|
||||
nproc: string;
|
||||
segurado: string;
|
||||
companhia: string;
|
||||
terceiro: string;
|
||||
dataVisita: string;
|
||||
localVisita: string;
|
||||
descricaoImovel: string;
|
||||
anoConstrucao: string;
|
||||
descricaoPesquisa: string;
|
||||
area: string;
|
||||
fotoImovel: UploadedImage | null;
|
||||
fotosPesquisa: UploadedImage[];
|
||||
presencas: PresenceEntry[];
|
||||
inicioPesquisa: TechniqueBlock[];
|
||||
tecnicas: TechniqueBlock[];
|
||||
}
|
||||
|
||||
export interface PresenceNarrative {
|
||||
header: string | null;
|
||||
details: string[];
|
||||
}
|
||||
|
||||
export interface PresenceSection {
|
||||
type: PresenceType;
|
||||
title: string;
|
||||
buttonLabel: string;
|
||||
singularLabel: string;
|
||||
}
|
||||
|
||||
export const PRESENCE_SECTIONS: PresenceSection[] = [
|
||||
{
|
||||
type: 'segurado',
|
||||
title: 'Segurados',
|
||||
buttonLabel: 'Adicionar segurado',
|
||||
singularLabel: 'segurado'
|
||||
},
|
||||
{
|
||||
type: 'lesado',
|
||||
title: 'Lesados',
|
||||
buttonLabel: 'Adicionar lesado',
|
||||
singularLabel: 'lesado'
|
||||
}
|
||||
];
|
||||
|
||||
export const TECHNIQUE_OPTIONS = [
|
||||
'Controlo Visual',
|
||||
'Medição de humidade',
|
||||
'Câmara térmica',
|
||||
'Câmara endoscópica',
|
||||
'Obturação',
|
||||
'Teste de pressão',
|
||||
'Teste com corantes'
|
||||
];
|
||||
|
||||
export const CONCLUSION_PARAGRAPHS = [
|
||||
'Resumo breve e sucinto das constatações e resultados.',
|
||||
'Visto que as tubagens passam em calhas/galerias/coretes, é difícil determinar a localização exata da fuga, uma vez que o gás se expande pelas calhas/galerias/coretes.',
|
||||
'As vibrações acústicas que resultam da fuga propagam-se pelas calhas/galerias/coretes.',
|
||||
'O ruído da fuga é demasiadamente baixo para ser detetado com o Detector Electroacústico.',
|
||||
'Existe uma perda de pressão entre 1 e 1,5 bar por dia; serão necessárias algumas horas para se efetuar uma deteção via Aquaphon/câmara térmica.'
|
||||
];
|
||||
|
||||
export const TECHNICIAN_NOTE =
|
||||
'Assim que a causa da fuga esteja reparada, recomenda-se uma espera de tempo adequado, de acordo com as especificações dos materiais utilizados, antes de se avançar com as reparações dos danos, tendo em conta os tempos de secagem.';
|
||||
|
||||
export const TECHNICIAN_NAME = 'Vítor Gomes';
|
||||
|
||||
export function createInitialReportForm(): ReportFormModel {
|
||||
return {
|
||||
nproc: '',
|
||||
segurado: '',
|
||||
companhia: '',
|
||||
terceiro: '',
|
||||
dataVisita: '',
|
||||
localVisita: '',
|
||||
descricaoImovel: '',
|
||||
anoConstrucao: '',
|
||||
descricaoPesquisa: '',
|
||||
area: '',
|
||||
fotoImovel: null,
|
||||
fotosPesquisa: [],
|
||||
presencas: [createPresenceEntry('segurado')],
|
||||
inicioPesquisa: [createTechniqueBlock()],
|
||||
tecnicas: [createTechniqueBlock()]
|
||||
};
|
||||
}
|
||||
|
||||
export function createPresenceEntry(type: PresenceType): PresenceEntry {
|
||||
return {
|
||||
id: createId(type),
|
||||
type,
|
||||
name: '',
|
||||
info: ''
|
||||
};
|
||||
}
|
||||
|
||||
export function splitParagraphs(value: string): string[] {
|
||||
return value
|
||||
.split(/\r?\n+/)
|
||||
.map((item) => item.trim())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
export function buildPresenceNarrative(presences: PresenceEntry[]): PresenceNarrative {
|
||||
const details: string[] = [];
|
||||
const presentPeople: string[] = [];
|
||||
|
||||
for (const item of presences) {
|
||||
const name = item.name.trim();
|
||||
const info = item.info.trim();
|
||||
|
||||
if (!name) {
|
||||
continue;
|
||||
}
|
||||
|
||||
if (item.type === 'segurado') {
|
||||
presentPeople.push(`o segurado, ${name}`);
|
||||
if (info) {
|
||||
details.push(`O segurado, ${name} informou que ${info}.`);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (item.type === 'lesado') {
|
||||
presentPeople.push(`o lesado, ${name}`);
|
||||
if (info) {
|
||||
details.push(`O lesado, ${name} informou que ${info}.`);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
if (!presentPeople.length) {
|
||||
return {
|
||||
header: null,
|
||||
details
|
||||
};
|
||||
}
|
||||
|
||||
const joined = joinPeople(presentPeople);
|
||||
const header =
|
||||
presentPeople.length === 1
|
||||
? `${joined} esteve presente aquando a pesquisa.`
|
||||
: `${joined} estiveram presentes aquando a pesquisa.`;
|
||||
|
||||
return {
|
||||
header,
|
||||
details
|
||||
};
|
||||
}
|
||||
|
||||
export function collectSelectedMethods(form: ReportFormModel): string[] {
|
||||
const methods: string[] = [];
|
||||
const seen = new Set<string>();
|
||||
|
||||
for (const group of [form.inicioPesquisa, form.tecnicas]) {
|
||||
for (const item of group) {
|
||||
const name = item.name.trim();
|
||||
if (!name || seen.has(name)) {
|
||||
continue;
|
||||
}
|
||||
|
||||
seen.add(name);
|
||||
methods.push(name);
|
||||
}
|
||||
}
|
||||
|
||||
return methods;
|
||||
}
|
||||
|
||||
export function createTechniqueBlock(name = ''): TechniqueBlock {
|
||||
return {
|
||||
id: createId(name || 'metodo'),
|
||||
name,
|
||||
description: '',
|
||||
photos: []
|
||||
};
|
||||
}
|
||||
|
||||
function createId(prefix: string): string {
|
||||
const safePrefix = (prefix || 'item').toLowerCase().replace(/\s+/g, '-');
|
||||
const generated =
|
||||
globalThis.crypto?.randomUUID?.() ??
|
||||
`${Date.now().toString(36)}-${Math.random().toString(36).slice(2, 10)}`;
|
||||
|
||||
return `${safePrefix}-${generated}`;
|
||||
}
|
||||
|
||||
function joinPeople(items: string[]): string {
|
||||
if (items.length === 1) {
|
||||
return items[0];
|
||||
}
|
||||
|
||||
return `${items.slice(0, -1).join(', ')} e ${items.at(-1)}`;
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>VAguatechAngular</title>
|
||||
<base href="/">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<link rel="icon" type="image/x-icon" href="favicon.ico">
|
||||
</head>
|
||||
<body>
|
||||
<app-root></app-root>
|
||||
</body>
|
||||
</html>
|
||||
@@ -0,0 +1,6 @@
|
||||
import { bootstrapApplication } from '@angular/platform-browser';
|
||||
import { appConfig } from './app/app.config';
|
||||
import { App } from './app/app';
|
||||
|
||||
bootstrapApplication(App, appConfig)
|
||||
.catch((err) => console.error(err));
|
||||
+679
@@ -0,0 +1,679 @@
|
||||
:root {
|
||||
--bg: #ede8dc;
|
||||
--panel: rgba(250, 247, 239, 0.92);
|
||||
--paper: #fffdfa;
|
||||
--line: rgba(102, 102, 102, 0.16);
|
||||
--ink: #27313a;
|
||||
--muted: #66707a;
|
||||
--accent: #4a66ac;
|
||||
--accent-soft: rgba(74, 102, 172, 0.12);
|
||||
--accent-strong: #39518d;
|
||||
--gold: #d1ad66;
|
||||
--success: #357756;
|
||||
--error: #a04637;
|
||||
--shadow: 0 28px 60px rgba(30, 42, 68, 0.14);
|
||||
}
|
||||
|
||||
*,
|
||||
*::before,
|
||||
*::after {
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
html,
|
||||
body {
|
||||
margin: 0;
|
||||
min-height: 100%;
|
||||
}
|
||||
|
||||
body {
|
||||
min-height: 100vh;
|
||||
background:
|
||||
radial-gradient(circle at top left, rgba(209, 173, 102, 0.32), transparent 32%),
|
||||
radial-gradient(circle at top right, rgba(74, 102, 172, 0.18), transparent 28%),
|
||||
linear-gradient(180deg, #f4efe5 0%, #ebe5d7 100%);
|
||||
color: var(--ink);
|
||||
font-family: 'Bahnschrift', 'Trebuchet MS', 'Segoe UI', sans-serif;
|
||||
}
|
||||
|
||||
app-root {
|
||||
display: block;
|
||||
min-height: 100vh;
|
||||
}
|
||||
|
||||
button,
|
||||
input,
|
||||
textarea,
|
||||
select {
|
||||
font: inherit;
|
||||
}
|
||||
|
||||
.sr-only {
|
||||
position: absolute;
|
||||
width: 1px;
|
||||
height: 1px;
|
||||
padding: 0;
|
||||
margin: -1px;
|
||||
overflow: hidden;
|
||||
clip: rect(0, 0, 0, 0);
|
||||
white-space: nowrap;
|
||||
border: 0;
|
||||
}
|
||||
|
||||
.workspace {
|
||||
display: grid;
|
||||
grid-template-columns: minmax(340px, 1fr) minmax(0, 2fr);
|
||||
min-height: 100vh;
|
||||
}
|
||||
|
||||
.workspace__controls,
|
||||
.workspace__preview {
|
||||
padding: 2rem;
|
||||
}
|
||||
|
||||
.workspace__controls {
|
||||
background: linear-gradient(180deg, rgba(255, 253, 248, 0.95), rgba(246, 240, 226, 0.94));
|
||||
border-right: 1px solid rgba(74, 102, 172, 0.14);
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.workspace__preview {
|
||||
overflow-y: auto;
|
||||
background:
|
||||
linear-gradient(135deg, rgba(74, 102, 172, 0.08), transparent 40%),
|
||||
linear-gradient(180deg, rgba(255, 255, 255, 0.48), rgba(250, 246, 237, 0.82));
|
||||
}
|
||||
|
||||
.panel-head {
|
||||
margin-bottom: 1.5rem;
|
||||
max-width: 30rem;
|
||||
}
|
||||
|
||||
.eyebrow {
|
||||
margin: 0 0 0.4rem;
|
||||
color: var(--accent-strong);
|
||||
font-size: 0.8rem;
|
||||
font-weight: 800;
|
||||
letter-spacing: 0.14em;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.panel-head h1,
|
||||
.preview-head h2 {
|
||||
margin: 0;
|
||||
font-size: clamp(2rem, 1.3rem + 2vw, 3.25rem);
|
||||
font-weight: 800;
|
||||
line-height: 0.96;
|
||||
letter-spacing: -0.05em;
|
||||
}
|
||||
|
||||
.intro,
|
||||
.preview-note,
|
||||
.section-head p,
|
||||
.upload-row p,
|
||||
.group-head p,
|
||||
.status,
|
||||
.empty-state {
|
||||
margin: 0;
|
||||
color: var(--muted);
|
||||
line-height: 1.55;
|
||||
}
|
||||
|
||||
.action-row {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
gap: 0.75rem;
|
||||
margin-bottom: 0.85rem;
|
||||
}
|
||||
|
||||
.button {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 0.5rem;
|
||||
min-height: 2.9rem;
|
||||
padding: 0.8rem 1.15rem;
|
||||
border-radius: 999px;
|
||||
border: 1px solid transparent;
|
||||
cursor: pointer;
|
||||
font-weight: 700;
|
||||
letter-spacing: -0.01em;
|
||||
transition:
|
||||
transform 160ms ease,
|
||||
box-shadow 160ms ease,
|
||||
background-color 160ms ease,
|
||||
border-color 160ms ease;
|
||||
}
|
||||
|
||||
.button:hover:not(:disabled) {
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
.button:disabled,
|
||||
.button.is-disabled {
|
||||
cursor: not-allowed;
|
||||
opacity: 0.5;
|
||||
}
|
||||
|
||||
.button--primary {
|
||||
color: white;
|
||||
background: linear-gradient(135deg, var(--accent), var(--accent-strong));
|
||||
box-shadow: 0 14px 28px rgba(74, 102, 172, 0.24);
|
||||
}
|
||||
|
||||
.button--ghost {
|
||||
color: var(--accent-strong);
|
||||
background: rgba(255, 255, 255, 0.7);
|
||||
border-color: rgba(74, 102, 172, 0.2);
|
||||
}
|
||||
|
||||
.button--soft {
|
||||
position: relative;
|
||||
color: var(--accent-strong);
|
||||
background: var(--accent-soft);
|
||||
}
|
||||
|
||||
.button--small {
|
||||
min-height: 2.3rem;
|
||||
padding-inline: 0.95rem;
|
||||
}
|
||||
|
||||
.status {
|
||||
margin-bottom: 1.5rem;
|
||||
padding: 0.9rem 1rem;
|
||||
border: 1px solid rgba(74, 102, 172, 0.12);
|
||||
border-radius: 1rem;
|
||||
background: rgba(255, 255, 255, 0.58);
|
||||
}
|
||||
|
||||
.status.is-success {
|
||||
color: var(--success);
|
||||
border-color: rgba(53, 119, 86, 0.18);
|
||||
background: rgba(53, 119, 86, 0.08);
|
||||
}
|
||||
|
||||
.status.is-error {
|
||||
color: var(--error);
|
||||
border-color: rgba(160, 70, 55, 0.18);
|
||||
background: rgba(160, 70, 55, 0.08);
|
||||
}
|
||||
|
||||
.form-card {
|
||||
max-width: 30rem;
|
||||
margin-bottom: 1rem;
|
||||
padding: 1.2rem;
|
||||
border: 1px solid rgba(74, 102, 172, 0.12);
|
||||
border-radius: 1.3rem;
|
||||
background: var(--panel);
|
||||
box-shadow: 0 14px 30px rgba(38, 52, 80, 0.06);
|
||||
}
|
||||
|
||||
.section-head {
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.section-head h2,
|
||||
.group-head h3 {
|
||||
margin: 0 0 0.2rem;
|
||||
font-size: 1rem;
|
||||
font-weight: 800;
|
||||
letter-spacing: -0.02em;
|
||||
}
|
||||
|
||||
.field-grid,
|
||||
.tech-grid {
|
||||
display: grid;
|
||||
gap: 0.9rem;
|
||||
}
|
||||
|
||||
.field-grid {
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
}
|
||||
|
||||
.field {
|
||||
display: grid;
|
||||
gap: 0.4rem;
|
||||
}
|
||||
|
||||
.field span {
|
||||
font-size: 0.9rem;
|
||||
font-weight: 700;
|
||||
color: var(--ink);
|
||||
}
|
||||
|
||||
.field--full {
|
||||
grid-column: 1 / -1;
|
||||
}
|
||||
|
||||
.field input,
|
||||
.field textarea,
|
||||
.field select {
|
||||
width: 100%;
|
||||
border: 1px solid rgba(74, 102, 172, 0.16);
|
||||
border-radius: 0.95rem;
|
||||
padding: 0.85rem 0.95rem;
|
||||
color: var(--ink);
|
||||
background: rgba(255, 255, 255, 0.78);
|
||||
transition:
|
||||
border-color 150ms ease,
|
||||
box-shadow 150ms ease,
|
||||
background-color 150ms ease;
|
||||
}
|
||||
|
||||
.field textarea {
|
||||
min-height: 6rem;
|
||||
resize: vertical;
|
||||
}
|
||||
|
||||
.field select {
|
||||
appearance: none;
|
||||
}
|
||||
|
||||
.field input:focus,
|
||||
.field textarea:focus,
|
||||
.field select:focus {
|
||||
outline: none;
|
||||
border-color: rgba(74, 102, 172, 0.55);
|
||||
box-shadow: 0 0 0 4px rgba(74, 102, 172, 0.12);
|
||||
background: white;
|
||||
}
|
||||
|
||||
.upload-block + .upload-block,
|
||||
.presence-group + .presence-group {
|
||||
margin-top: 1rem;
|
||||
}
|
||||
|
||||
.upload-block,
|
||||
.presence-card,
|
||||
.tech-card {
|
||||
border: 1px solid var(--line);
|
||||
border-radius: 1rem;
|
||||
background: rgba(255, 255, 255, 0.66);
|
||||
}
|
||||
|
||||
.upload-block,
|
||||
.presence-card {
|
||||
padding: 1rem;
|
||||
}
|
||||
|
||||
.upload-row,
|
||||
.group-head {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
gap: 1rem;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.upload-row strong,
|
||||
.thumb-card__meta strong {
|
||||
display: block;
|
||||
font-size: 0.92rem;
|
||||
}
|
||||
|
||||
.thumb-list {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
gap: 0.75rem;
|
||||
margin-top: 0.9rem;
|
||||
}
|
||||
|
||||
.thumb-list--single {
|
||||
grid-template-columns: minmax(0, 1fr);
|
||||
}
|
||||
|
||||
.thumb-card {
|
||||
overflow: hidden;
|
||||
border-radius: 0.9rem;
|
||||
border: 1px solid rgba(74, 102, 172, 0.12);
|
||||
background: white;
|
||||
}
|
||||
|
||||
.thumb-card img {
|
||||
display: block;
|
||||
width: 100%;
|
||||
aspect-ratio: 4 / 3;
|
||||
object-fit: cover;
|
||||
}
|
||||
|
||||
.thumb-card__meta {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
gap: 0.8rem;
|
||||
align-items: center;
|
||||
padding: 0.75rem;
|
||||
}
|
||||
|
||||
.link-button {
|
||||
padding: 0;
|
||||
border: 0;
|
||||
background: transparent;
|
||||
color: var(--accent-strong);
|
||||
font-weight: 700;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.link-button--danger {
|
||||
color: var(--error);
|
||||
}
|
||||
|
||||
.presence-card {
|
||||
display: grid;
|
||||
gap: 0.8rem;
|
||||
margin-top: 0.85rem;
|
||||
}
|
||||
|
||||
.group-head--section {
|
||||
margin-bottom: 1rem;
|
||||
align-items: flex-start;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.tech-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.tech-card {
|
||||
display: grid;
|
||||
gap: 0.95rem;
|
||||
width: 100%;
|
||||
padding: 1.1rem;
|
||||
transition:
|
||||
border-color 160ms ease,
|
||||
transform 160ms ease,
|
||||
box-shadow 160ms ease;
|
||||
}
|
||||
|
||||
.tech-card.is-selected {
|
||||
border-color: rgba(74, 102, 172, 0.32);
|
||||
box-shadow: 0 18px 36px rgba(74, 102, 172, 0.1);
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
.tech-card__top {
|
||||
display: grid;
|
||||
grid-template-columns: minmax(0, 1fr) auto;
|
||||
gap: 0.9rem;
|
||||
align-items: end;
|
||||
}
|
||||
|
||||
.tech-card__top .link-button {
|
||||
justify-self: end;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.tech-card .upload-row {
|
||||
align-items: flex-start;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.tech-card .thumb-list {
|
||||
grid-template-columns: repeat(auto-fit, minmax(9rem, 1fr));
|
||||
}
|
||||
|
||||
.preview-head {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
gap: 1rem;
|
||||
align-items: end;
|
||||
max-width: 72rem;
|
||||
margin: 0 auto 1.5rem;
|
||||
}
|
||||
|
||||
.word-preview-shell {
|
||||
max-width: 72rem;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.word-preview-styles {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.preview-banner {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 0.7rem;
|
||||
margin: 0 0 1rem;
|
||||
padding: 0.85rem 1rem;
|
||||
border-radius: 999px;
|
||||
background: rgba(255, 255, 255, 0.82);
|
||||
color: var(--accent-strong);
|
||||
font-weight: 700;
|
||||
box-shadow: 0 12px 24px rgba(38, 52, 80, 0.08);
|
||||
}
|
||||
|
||||
.preview-banner--error {
|
||||
color: var(--error);
|
||||
background: rgba(255, 255, 255, 0.92);
|
||||
}
|
||||
|
||||
.preview-dot {
|
||||
inline-size: 0.7rem;
|
||||
block-size: 0.7rem;
|
||||
border-radius: 999px;
|
||||
background: var(--accent);
|
||||
animation: preview-pulse 1s ease-in-out infinite;
|
||||
}
|
||||
|
||||
.word-preview-host {
|
||||
min-height: 75vh;
|
||||
}
|
||||
|
||||
.word-preview-host .docx-wrapper {
|
||||
padding: 0;
|
||||
background: transparent;
|
||||
}
|
||||
|
||||
.word-preview-host .docx-wrapper .docx {
|
||||
margin-bottom: 1.75rem;
|
||||
box-shadow: 0 28px 60px rgba(30, 42, 68, 0.14);
|
||||
}
|
||||
|
||||
.page {
|
||||
max-width: 54rem;
|
||||
margin: 0 auto;
|
||||
padding: 2.75rem 3rem;
|
||||
border-radius: 1.6rem;
|
||||
background: linear-gradient(180deg, #fffefb, #fffdfa);
|
||||
box-shadow: var(--shadow);
|
||||
}
|
||||
|
||||
.report-summary {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
overflow: hidden;
|
||||
border: 1px solid rgba(74, 102, 172, 0.28);
|
||||
border-radius: 1rem;
|
||||
}
|
||||
|
||||
.summary-cell {
|
||||
padding: 1rem 1.1rem;
|
||||
border-right: 1px solid rgba(74, 102, 172, 0.16);
|
||||
border-bottom: 1px solid rgba(74, 102, 172, 0.16);
|
||||
background: linear-gradient(180deg, rgba(255, 255, 255, 0.92), rgba(244, 248, 255, 0.8));
|
||||
}
|
||||
|
||||
.summary-cell:nth-child(2n) {
|
||||
border-right: 0;
|
||||
}
|
||||
|
||||
.summary-cell:nth-last-child(-n + 2) {
|
||||
border-bottom: 0;
|
||||
}
|
||||
|
||||
.summary-cell span {
|
||||
display: block;
|
||||
margin-bottom: 0.25rem;
|
||||
color: #788194;
|
||||
font-size: 0.82rem;
|
||||
font-weight: 800;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.08em;
|
||||
}
|
||||
|
||||
.summary-cell strong {
|
||||
display: block;
|
||||
color: var(--ink);
|
||||
font-size: 1rem;
|
||||
}
|
||||
|
||||
.report-header {
|
||||
margin: 2rem 0 1.6rem;
|
||||
}
|
||||
|
||||
.report-kicker {
|
||||
margin: 0 0 0.45rem;
|
||||
color: var(--gold);
|
||||
font-weight: 800;
|
||||
letter-spacing: 0.14em;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.report-header h3 {
|
||||
margin: 0;
|
||||
color: var(--accent);
|
||||
font-size: clamp(1.8rem, 1.2rem + 1.7vw, 2.5rem);
|
||||
line-height: 1.04;
|
||||
letter-spacing: -0.05em;
|
||||
}
|
||||
|
||||
.report-section {
|
||||
margin-top: 1.8rem;
|
||||
color: #5f646c;
|
||||
font-family: 'Palatino Linotype', 'Book Antiqua', Georgia, serif;
|
||||
}
|
||||
|
||||
.report-section h4,
|
||||
.method-block h5 {
|
||||
margin: 0 0 0.75rem;
|
||||
color: var(--accent);
|
||||
font-family: 'Bahnschrift', 'Trebuchet MS', 'Segoe UI', sans-serif;
|
||||
font-weight: 800;
|
||||
letter-spacing: -0.03em;
|
||||
}
|
||||
|
||||
.report-section h4 {
|
||||
font-size: 1.1rem;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
.method-block {
|
||||
margin-top: 1rem;
|
||||
}
|
||||
|
||||
.method-block h5 {
|
||||
font-size: 1rem;
|
||||
}
|
||||
|
||||
.report-section p,
|
||||
.report-section li {
|
||||
margin: 0 0 0.8rem;
|
||||
font-size: 1rem;
|
||||
line-height: 1.78;
|
||||
text-align: justify;
|
||||
}
|
||||
|
||||
.report-figure,
|
||||
.report-gallery__item {
|
||||
margin: 1rem 0 0;
|
||||
}
|
||||
|
||||
.report-figure img,
|
||||
.report-gallery__item img {
|
||||
display: block;
|
||||
width: 100%;
|
||||
border-radius: 1rem;
|
||||
object-fit: cover;
|
||||
box-shadow: 0 18px 30px rgba(18, 26, 44, 0.1);
|
||||
}
|
||||
|
||||
.report-gallery {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
gap: 1rem;
|
||||
margin: 1rem 0 1.2rem;
|
||||
}
|
||||
|
||||
.method-list {
|
||||
margin: 0;
|
||||
padding-left: 1.25rem;
|
||||
}
|
||||
|
||||
.report-section--signature p {
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.is-placeholder {
|
||||
color: #9c9c9c;
|
||||
}
|
||||
|
||||
@media (max-width: 1220px) {
|
||||
.workspace {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.workspace__controls {
|
||||
border-right: 0;
|
||||
border-bottom: 1px solid rgba(74, 102, 172, 0.14);
|
||||
}
|
||||
|
||||
.preview-head,
|
||||
.page {
|
||||
max-width: 100%;
|
||||
}
|
||||
}
|
||||
|
||||
@media (max-width: 860px) {
|
||||
.workspace__controls,
|
||||
.workspace__preview {
|
||||
padding: 1.25rem;
|
||||
}
|
||||
|
||||
.field-grid,
|
||||
.thumb-list,
|
||||
.report-gallery,
|
||||
.report-summary {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.tech-card__top {
|
||||
grid-template-columns: 1fr;
|
||||
align-items: start;
|
||||
}
|
||||
|
||||
.tech-card__top .link-button {
|
||||
justify-self: start;
|
||||
}
|
||||
|
||||
.summary-cell {
|
||||
border-right: 0;
|
||||
}
|
||||
|
||||
.summary-cell:not(:last-child) {
|
||||
border-bottom: 1px solid rgba(74, 102, 172, 0.16);
|
||||
}
|
||||
|
||||
.page {
|
||||
padding: 1.5rem;
|
||||
border-radius: 1.2rem;
|
||||
}
|
||||
|
||||
.preview-head,
|
||||
.upload-row,
|
||||
.group-head {
|
||||
flex-direction: column;
|
||||
align-items: start;
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes preview-pulse {
|
||||
0%,
|
||||
100% {
|
||||
opacity: 0.35;
|
||||
transform: scale(0.9);
|
||||
}
|
||||
|
||||
50% {
|
||||
opacity: 1;
|
||||
transform: scale(1);
|
||||
}
|
||||
}
|
||||
@@ -1,43 +0,0 @@
|
||||
import tkinter as tk
|
||||
from tkinter import ttk
|
||||
|
||||
|
||||
class App(tk.Tk):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.title("Navegacao entre Modulos")
|
||||
self.geometry("900x550")
|
||||
|
||||
sidebar = ttk.Frame(self, padding=10)
|
||||
sidebar.pack(side="left", fill="y")
|
||||
|
||||
self.content = ttk.Frame(self, padding=16)
|
||||
self.content.pack(side="left", fill="both", expand=True)
|
||||
|
||||
self.frames = {
|
||||
"Modulo 1": self._build_page("Modulo 1", "Conteudo do modulo 1"),
|
||||
"Modulo 2": self._build_page("Modulo 2", "Conteudo do modulo 2"),
|
||||
"Modulo 3": self._build_page("Modulo 3", "Conteudo do modulo 3"),
|
||||
}
|
||||
|
||||
for nome in self.frames:
|
||||
ttk.Button(sidebar, text=nome, command=lambda n=nome: self.show_page(n)).pack(
|
||||
fill="x", pady=4
|
||||
)
|
||||
|
||||
self.show_page("Modulo 1")
|
||||
|
||||
def _build_page(self, titulo: str, texto: str) -> ttk.Frame:
|
||||
frame = ttk.Frame(self.content)
|
||||
ttk.Label(frame, text=titulo, font=("Segoe UI", 16, "bold")).pack(anchor="w")
|
||||
ttk.Label(frame, text=texto).pack(anchor="w", pady=(10, 0))
|
||||
return frame
|
||||
|
||||
def show_page(self, nome: str):
|
||||
for frame in self.frames.values():
|
||||
frame.pack_forget()
|
||||
self.frames[nome].pack(fill="both", expand=True)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
App().mainloop()
|
||||
@@ -0,0 +1,15 @@
|
||||
/* To learn more about Typescript configuration file: https://www.typescriptlang.org/docs/handbook/tsconfig-json.html. */
|
||||
/* To learn more about Angular compiler options: https://angular.dev/reference/configs/angular-compiler-options. */
|
||||
{
|
||||
"extends": "./tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "./out-tsc/app",
|
||||
"types": []
|
||||
},
|
||||
"include": [
|
||||
"src/**/*.ts"
|
||||
],
|
||||
"exclude": [
|
||||
"src/**/*.spec.ts"
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
/* To learn more about Typescript configuration file: https://www.typescriptlang.org/docs/handbook/tsconfig-json.html. */
|
||||
/* To learn more about Angular compiler options: https://angular.dev/reference/configs/angular-compiler-options. */
|
||||
{
|
||||
"compileOnSave": false,
|
||||
"compilerOptions": {
|
||||
"strict": true,
|
||||
"noImplicitOverride": true,
|
||||
"noPropertyAccessFromIndexSignature": true,
|
||||
"noImplicitReturns": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"skipLibCheck": true,
|
||||
"isolatedModules": true,
|
||||
"experimentalDecorators": true,
|
||||
"importHelpers": true,
|
||||
"target": "ES2022",
|
||||
"module": "preserve"
|
||||
},
|
||||
"angularCompilerOptions": {
|
||||
"enableI18nLegacyMessageIdFormat": false,
|
||||
"strictInjectionParameters": true,
|
||||
"strictInputAccessModifiers": true,
|
||||
"strictTemplates": true
|
||||
},
|
||||
"files": [],
|
||||
"references": [
|
||||
{
|
||||
"path": "./tsconfig.app.json"
|
||||
},
|
||||
{
|
||||
"path": "./tsconfig.spec.json"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,15 @@
|
||||
/* To learn more about Typescript configuration file: https://www.typescriptlang.org/docs/handbook/tsconfig-json.html. */
|
||||
/* To learn more about Angular compiler options: https://angular.dev/reference/configs/angular-compiler-options. */
|
||||
{
|
||||
"extends": "./tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "./out-tsc/spec",
|
||||
"types": [
|
||||
"vitest/globals"
|
||||
]
|
||||
},
|
||||
"include": [
|
||||
"src/**/*.d.ts",
|
||||
"src/**/*.spec.ts"
|
||||
]
|
||||
}
|
||||
@@ -1,778 +0,0 @@
|
||||
import os
|
||||
import sys
|
||||
import tkinter as tk
|
||||
from tkinter import ttk
|
||||
from datetime import datetime
|
||||
from docx import Document
|
||||
from tkinter import filedialog
|
||||
from PIL import Image
|
||||
import tempfile
|
||||
from docx.shared import Inches, Pt, RGBColor
|
||||
import io
|
||||
|
||||
|
||||
TEMPLATE_DOCX = "Corpus.docx"
|
||||
|
||||
def resource_path(relative_path: str) -> str:
|
||||
try:
|
||||
base_path = sys._MEIPASS
|
||||
except Exception:
|
||||
base_path = os.path.abspath(".")
|
||||
return os.path.join(base_path, relative_path)
|
||||
|
||||
def image_to_png_stream(image_path: str) -> io.BytesIO:
|
||||
with Image.open(image_path) as img:
|
||||
if img.mode not in ("RGB", "RGBA"):
|
||||
img = img.convert("RGB")
|
||||
bio = io.BytesIO()
|
||||
img.save(bio, format="PNG")
|
||||
bio.seek(0)
|
||||
return bio
|
||||
|
||||
|
||||
def insert_image_at_placeholder(doc: Document, placeholder: str, image_path: str, width_inches: float = 6.20) -> bool:
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
return False
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
run = p.add_run()
|
||||
run.add_picture(img_stream, width=Inches(width_inches))
|
||||
return True
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def insert_images_at_placeholders(doc: Document, placeholders: dict, width_inches: float = 6.20) -> list:
|
||||
missing = []
|
||||
for placeholder, image_path in placeholders.items():
|
||||
if not image_path:
|
||||
continue
|
||||
ok = insert_image_at_placeholder(doc, placeholder, image_path, width_inches=width_inches)
|
||||
if not ok:
|
||||
missing.append(placeholder)
|
||||
return missing
|
||||
|
||||
def insert_tecnicas_utilizadas(doc: Document, placeholder: str, tecnicas: list) -> bool:
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
|
||||
first_block = True
|
||||
for t in tecnicas:
|
||||
if not t.get("selected"):
|
||||
continue
|
||||
nome = (t.get("name") or "").strip()
|
||||
desc = (t.get("desc") or "").strip()
|
||||
fotos = t.get("photos") or []
|
||||
|
||||
if not nome:
|
||||
continue
|
||||
if not first_block:
|
||||
p.add_run().add_break()
|
||||
p.add_run().add_break()
|
||||
|
||||
run_title = p.add_run(nome)
|
||||
run_title.font.name = "Verdana"
|
||||
run_title.font.size = Pt(11)
|
||||
run_title.font.color.rgb = RGBColor(0x4A, 0x66, 0xAC)
|
||||
p.add_run().add_break()
|
||||
|
||||
if desc:
|
||||
run_desc = p.add_run(desc)
|
||||
run_desc.font.name = "Verdana"
|
||||
run_desc.font.size = Pt(10)
|
||||
run_desc.font.color.rgb = RGBColor(0x66, 0x66, 0x66)
|
||||
p.add_run().add_break()
|
||||
|
||||
if fotos:
|
||||
for i, image_path in enumerate(fotos):
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
continue
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
run_img = p.add_run()
|
||||
run_img.add_picture(img_stream, width=Inches(2.80))
|
||||
is_last = i == len(fotos) - 1
|
||||
if not is_last:
|
||||
if i % 2 == 0:
|
||||
p.add_run(" ")
|
||||
else:
|
||||
p.add_run().add_break()
|
||||
p.add_run().add_break()
|
||||
|
||||
first_block = False
|
||||
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
def insert_metodos_utilizados(doc: Document, placeholder: str, values: dict) -> bool:
|
||||
items = []
|
||||
seen = set()
|
||||
for group_key in ("inicio_pesquisa", "tecnicas"):
|
||||
for t in values.get(group_key) or []:
|
||||
if not t.get("selected"):
|
||||
continue
|
||||
name = (t.get("name") or "").strip()
|
||||
if not name or name in seen:
|
||||
continue
|
||||
seen.add(name)
|
||||
items.append(name)
|
||||
|
||||
if not items:
|
||||
return False
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
|
||||
for i, name in enumerate(items):
|
||||
run = p.add_run(f"- {name}")
|
||||
run.font.name = "Verdana"
|
||||
run.font.size = Pt(10)
|
||||
run.font.color.rgb = RGBColor(0x66, 0x66, 0x66)
|
||||
if i < len(items) - 1:
|
||||
p.add_run().add_break()
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
def insert_multiple_images_at_placeholder(doc: Document, placeholder: str, image_paths: list, width_inches: float = 2.80) -> bool:
|
||||
if not image_paths:
|
||||
return False
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
for i, image_path in enumerate(image_paths):
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
continue
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
run = p.add_run()
|
||||
run.add_picture(img_stream, width=Inches(width_inches))
|
||||
is_last = i == len(image_paths) - 1
|
||||
if not is_last:
|
||||
if i % 2 == 0:
|
||||
p.add_run(" ")
|
||||
else:
|
||||
p.add_run().add_break()
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def fatal_popup_and_exit(title: str, msg: str, exit_code: int = 1):
|
||||
win = tk.Tk()
|
||||
win.title(title)
|
||||
win.geometry("520x260")
|
||||
win.resizable(False, False)
|
||||
frm = ttk.Frame(win, padding=14)
|
||||
frm.pack(fill="both", expand=True)
|
||||
ttk.Label(frm, text=title, font=("Segoe UI", 12, "bold")).pack(anchor="w", pady=(0, 8))
|
||||
txt = tk.Text(frm, height=8, wrap="word")
|
||||
txt.pack(fill="both", expand=True)
|
||||
txt.insert("1.0", msg)
|
||||
txt.config(state="disabled")
|
||||
def close_and_exit():
|
||||
win.destroy()
|
||||
raise SystemExit(exit_code)
|
||||
ttk.Button(frm, text="OK", command=close_and_exit).pack(anchor="e", pady=(10, 0))
|
||||
win.protocol("WM_DELETE_WINDOW", close_and_exit)
|
||||
win.mainloop()
|
||||
|
||||
def info_popup(title: str, msg: str):
|
||||
win = tk.Toplevel()
|
||||
win.title(title)
|
||||
win.geometry("520x240")
|
||||
win.resizable(False, False)
|
||||
frm = ttk.Frame(win, padding=14)
|
||||
frm.pack(fill="both", expand=True)
|
||||
ttk.Label(frm, text=title, font=("Segoe UI", 12, "bold")).pack(anchor="w", pady=(0, 8))
|
||||
txt = tk.Text(frm, height=7, wrap="word")
|
||||
txt.pack(fill="both", expand=True)
|
||||
txt.insert("1.0", msg)
|
||||
txt.config(state="disabled")
|
||||
def close():
|
||||
win.destroy()
|
||||
ttk.Button(frm, text="OK", command=close).pack(anchor="e", pady=(10, 0))
|
||||
win.grab_set()
|
||||
win.focus_force()
|
||||
|
||||
def replace_placeholders_in_doc(doc: Document, mapping: dict) -> None:
|
||||
for p in doc.paragraphs:
|
||||
text = p.text
|
||||
new_text = text
|
||||
for k, v in mapping.items():
|
||||
new_text = new_text.replace(k, v)
|
||||
if new_text != text:
|
||||
p.text = new_text
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
text = p.text
|
||||
new_text = text
|
||||
for k, v in mapping.items():
|
||||
new_text = new_text.replace(k, v)
|
||||
if new_text != text:
|
||||
p.text = new_text
|
||||
|
||||
def generate_output_filename() -> str:
|
||||
stamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
|
||||
return f"{stamp}.docx"
|
||||
|
||||
def build_presence_text(values: dict) -> str:
|
||||
parts = []
|
||||
present_people = []
|
||||
|
||||
presencas = values.get("presencas") or []
|
||||
|
||||
# Retrocompatibilidade com o formato antigo (um item por tipo)
|
||||
if not presencas:
|
||||
if values.get("segurado_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "segurado",
|
||||
"nome": values.get("segurado_nome"),
|
||||
"info": values.get("segurado_info"),
|
||||
}
|
||||
)
|
||||
if values.get("lesado_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "lesado",
|
||||
"nome": values.get("lesado_nome"),
|
||||
"info": values.get("lesado_info"),
|
||||
}
|
||||
)
|
||||
if values.get("outro_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "outro",
|
||||
"nome": values.get("outro_nome"),
|
||||
"info": values.get("outro_info"),
|
||||
}
|
||||
)
|
||||
|
||||
def join_people(items: list) -> str:
|
||||
if not items:
|
||||
return ""
|
||||
if len(items) == 1:
|
||||
return items[0]
|
||||
return ", ".join(items[:-1]) + " e " + items[-1]
|
||||
|
||||
for item in presencas:
|
||||
tipo = (item.get("tipo") or "").strip().lower()
|
||||
nome = (item.get("nome") or "").strip()
|
||||
info = (item.get("info") or "").strip()
|
||||
if not nome:
|
||||
continue
|
||||
|
||||
if tipo == "segurado":
|
||||
present_people.append(f"o segurado, {nome}")
|
||||
if info:
|
||||
parts.append(f"O segurado, {nome} informou que {info}.")
|
||||
elif tipo == "lesado":
|
||||
present_people.append(f"o lesado, {nome}")
|
||||
if info:
|
||||
parts.append(f"O lesado, {nome} informou que {info}.")
|
||||
else:
|
||||
present_people.append(nome)
|
||||
if info:
|
||||
parts.append(f"{nome} informou que {info}.")
|
||||
|
||||
header = ""
|
||||
if present_people:
|
||||
joined = join_people(present_people)
|
||||
if len(present_people) == 1:
|
||||
header = f"{joined} esteve presente aquando a pesquisa."
|
||||
else:
|
||||
header = f"{joined} estiveram presentes aquando a pesquisa."
|
||||
|
||||
if header and parts:
|
||||
return header + "\n\n" + "\n".join(parts)
|
||||
if header:
|
||||
return header
|
||||
if parts:
|
||||
return "\n".join(parts)
|
||||
return ""
|
||||
|
||||
def run_generation(values: dict, root: tk.Tk):
|
||||
mapping = {
|
||||
"{{nproc}}": (values.get("nproc") or "").strip(),
|
||||
"{{segurado}}": (values.get("segurado") or "").strip(),
|
||||
"{{comp}}": (values.get("comp") or "").strip(),
|
||||
"{{terceiro}}": (values.get("terceiro") or "").strip(),
|
||||
"{{data}}": (values.get("data") or "").strip(),
|
||||
"{{local da visita}}": (values.get("local") or "").strip(),
|
||||
"{{descriçãoimovel}}": (values.get("descriçãoimovel") or "").strip(),
|
||||
"{{anoconstr}}": (values.get("anoconstr") or "").strip(),
|
||||
"{{presencas}}": build_presence_text(values),
|
||||
"{{descricao}}": (values.get("descricao") or "").strip(),
|
||||
"{{area}}": (values.get("area") or "").strip(),
|
||||
}
|
||||
|
||||
template_path = resource_path(TEMPLATE_DOCX)
|
||||
if not os.path.exists(template_path):
|
||||
try:
|
||||
root.destroy()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
fatal_popup_and_exit(
|
||||
"Erro: template não encontrado",
|
||||
f"Não encontrei o template '{TEMPLATE_DOCX}'.\n\n"
|
||||
f"Coloca o ficheiro '{TEMPLATE_DOCX}' na mesma pasta do executável e volta a executar."
|
||||
)
|
||||
return
|
||||
|
||||
output_docx = generate_output_filename()
|
||||
|
||||
try:
|
||||
doc = Document(template_path)
|
||||
replace_placeholders_in_doc(doc, mapping)
|
||||
foto1_path = (values.get("foto1_path") or "").strip()
|
||||
fotos2_paths = values.get("fotos2_paths") or []
|
||||
placeholders = {
|
||||
"{{foto1}}": foto1_path,
|
||||
}
|
||||
missing = insert_images_at_placeholders(doc, placeholders, width_inches=6.20)
|
||||
if missing:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei os placeholders no template (corpo/cabeçalho/rodapé):\n"
|
||||
+ ", ".join(missing)
|
||||
)
|
||||
if fotos2_paths:
|
||||
ok_multi = insert_multiple_images_at_placeholder(doc, "{{foto2}}", fotos2_paths, width_inches=2.80)
|
||||
if not ok_multi:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{foto2}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
tecnicas = values.get("tecnicas") or []
|
||||
if tecnicas:
|
||||
ok_tecnicas = insert_tecnicas_utilizadas(doc, "{{tecnicasutilizadas}}", tecnicas)
|
||||
if not ok_tecnicas:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{tecnicasutilizadas}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
inicio_pesquisa = values.get("inicio_pesquisa") or []
|
||||
if inicio_pesquisa:
|
||||
ok_inicio = insert_tecnicas_utilizadas(doc, "{{iniciopesquisa}}", inicio_pesquisa)
|
||||
if not ok_inicio:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{iniciopesquisa}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
if values.get("inicio_pesquisa") or values.get("tecnicas"):
|
||||
ok_metodos = insert_metodos_utilizados(doc, "{{metodosutilizados}}", values)
|
||||
if not ok_metodos:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{metodosutilizados}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
doc.save(output_docx)
|
||||
info_popup("Sucesso", f"Documento gerado com sucesso:\n\n{output_docx}")
|
||||
|
||||
except Exception as e:
|
||||
try:
|
||||
root.destroy()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
fatal_popup_and_exit(
|
||||
"Erro ao gerar documento",
|
||||
f"Falhou ao gerar o documento.\n\nDetalhes:\n{e}"
|
||||
)
|
||||
|
||||
def choose_image(foto_var):
|
||||
path = filedialog.askopenfilename(
|
||||
title="Selecionar fotografia",
|
||||
filetypes=[
|
||||
("Imagens", "*.png *.jpg *.jpeg *.bmp"),
|
||||
("Todos os ficheiros", "*.*"),
|
||||
],
|
||||
)
|
||||
if path:
|
||||
foto_var.set(path)
|
||||
|
||||
def choose_images(fotos_var, label_var):
|
||||
paths = filedialog.askopenfilenames(
|
||||
title="Selecionar fotografias",
|
||||
filetypes=[
|
||||
("Imagens", "*.png *.jpg *.jpeg *.bmp"),
|
||||
("Todos os ficheiros", "*.*"),
|
||||
],
|
||||
)
|
||||
if paths:
|
||||
fotos_var.set(list(paths))
|
||||
label_var.set(f"{len(paths)} imagem(ns)")
|
||||
|
||||
def main():
|
||||
root = tk.Tk()
|
||||
root.title("Preencher Corpus (Word)")
|
||||
root.geometry("1120x640")
|
||||
root.resizable(False, False)
|
||||
|
||||
outer = ttk.Frame(root)
|
||||
outer.pack(fill="both", expand=True)
|
||||
|
||||
canvas = tk.Canvas(outer, highlightthickness=0)
|
||||
scrollbar = ttk.Scrollbar(outer, orient="vertical", command=canvas.yview)
|
||||
canvas.configure(yscrollcommand=scrollbar.set)
|
||||
|
||||
scrollbar.pack(side="right", fill="y")
|
||||
canvas.pack(side="left", fill="both", expand=True)
|
||||
|
||||
frm = ttk.Frame(canvas, padding=16)
|
||||
canvas_window = canvas.create_window((0, 0), window=frm, anchor="nw")
|
||||
|
||||
def _update_scrollregion(_event=None):
|
||||
canvas.configure(scrollregion=canvas.bbox("all"))
|
||||
|
||||
def _fit_inner_width(event):
|
||||
canvas.itemconfigure(canvas_window, width=event.width)
|
||||
|
||||
def _on_mousewheel(event):
|
||||
canvas.yview_scroll(int(-1 * (event.delta / 120)), "units")
|
||||
|
||||
frm.bind("<Configure>", _update_scrollregion)
|
||||
canvas.bind("<Configure>", _fit_inner_width)
|
||||
canvas.bind_all("<MouseWheel>", _on_mousewheel)
|
||||
|
||||
fields = [("Nº do Processo:", "nproc"),("Segurado:", "segurado"),
|
||||
("Companhia:", "comp"),
|
||||
("Terceiro:", "terceiro"),
|
||||
("Data da visita:", "data"),
|
||||
("Local da visita:", "local"),
|
||||
("Descrição do imóvel:", "descriçãoimovel"),
|
||||
("Ano de Construção:", "anoconstr"),
|
||||
("Descrição da pesquisa:", "descricao"),
|
||||
("Área do do espaço:", "area")
|
||||
]
|
||||
|
||||
entries = {}
|
||||
foto_var = tk.StringVar(value="")
|
||||
fotos2_var = tk.Variable(value=[])
|
||||
fotos2_label = tk.StringVar(value="")
|
||||
tecnicas_data = []
|
||||
inicio_data = []
|
||||
|
||||
for i, (label, key) in enumerate(fields):
|
||||
ttk.Label(frm, text=label).grid(row=i, column=0, sticky="w", pady=6)
|
||||
ent = ttk.Entry(frm, width=80)
|
||||
ent.grid(row=i, column=1, sticky="w", pady=6)
|
||||
entries[key] = ent
|
||||
if key == "descriçãoimovel":
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Escolher imagem…",
|
||||
command=lambda: choose_image(foto_var)
|
||||
).grid(row=i, column=2, sticky="w", padx=8)
|
||||
|
||||
ttk.Label(
|
||||
frm,
|
||||
textvariable=foto_var,
|
||||
width=28
|
||||
).grid(row=i, column=4, sticky="w")
|
||||
if key == "descricao":
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Escolher imagens…",
|
||||
command=lambda: choose_images(fotos2_var, fotos2_label)
|
||||
).grid(row=i, column=2, sticky="w", padx=8)
|
||||
|
||||
ttk.Label(
|
||||
frm,
|
||||
textvariable=fotos2_label,
|
||||
width=14
|
||||
).grid(row=i, column=4, sticky="w")
|
||||
|
||||
def build_tecnicas_window(title: str, data_list: list):
|
||||
win = tk.Toplevel(root)
|
||||
win.title(title)
|
||||
win.geometry("980x520")
|
||||
win.resizable(False, False)
|
||||
|
||||
container = ttk.Frame(win, padding=16)
|
||||
container.pack(fill="both", expand=True)
|
||||
|
||||
if not data_list:
|
||||
tecnicas_list = [
|
||||
"Controlo Visual",
|
||||
"Medição de humidade",
|
||||
"Câmara térmica",
|
||||
"Câmara endoscópica",
|
||||
"Obturação",
|
||||
"Teste de pressão",
|
||||
"Teste com corantes",
|
||||
]
|
||||
for nome in tecnicas_list:
|
||||
data_list.append({
|
||||
"name": nome,
|
||||
"var": tk.BooleanVar(value=False),
|
||||
"desc": tk.StringVar(value=""),
|
||||
"photos": tk.Variable(value=[]),
|
||||
"label": tk.StringVar(value=""),
|
||||
})
|
||||
|
||||
def set_row_state(row_widgets, enabled: bool):
|
||||
state = "normal" if enabled else "disabled"
|
||||
for w in row_widgets:
|
||||
w.configure(state=state)
|
||||
|
||||
for idx, item in enumerate(data_list):
|
||||
row = ttk.Frame(container)
|
||||
row.pack(fill="x", pady=6)
|
||||
|
||||
chk = ttk.Checkbutton(
|
||||
row,
|
||||
text=item["name"],
|
||||
variable=item["var"],
|
||||
command=lambda it=item: set_row_state(it["widgets"], it["var"].get())
|
||||
)
|
||||
chk.grid(row=0, column=0, sticky="w")
|
||||
|
||||
ttk.Label(row, text="Descrição:").grid(row=0, column=1, sticky="w", padx=(12, 4))
|
||||
entry = ttk.Entry(row, textvariable=item["desc"], width=50)
|
||||
entry.grid(row=0, column=2, sticky="w")
|
||||
|
||||
btn = ttk.Button(
|
||||
row,
|
||||
text="Escolher fotos…",
|
||||
command=lambda it=item: choose_images(it["photos"], it["label"])
|
||||
)
|
||||
btn.grid(row=0, column=3, sticky="w", padx=10)
|
||||
|
||||
lbl = ttk.Label(row, textvariable=item["label"], width=18)
|
||||
lbl.grid(row=0, column=4, sticky="w")
|
||||
|
||||
item["widgets"] = [entry, btn]
|
||||
set_row_state(item["widgets"], item["var"].get())
|
||||
|
||||
ttk.Button(container, text="Fechar", command=win.destroy).pack(anchor="e", pady=(12, 0))
|
||||
win.grab_set()
|
||||
win.focus_force()
|
||||
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Técnicas utilizadas…",
|
||||
command=lambda: build_tecnicas_window("Técnicas utilizadas", tecnicas_data)
|
||||
).grid(row=len(fields), column=0, sticky="w", pady=(14, 0))
|
||||
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Início da pesquisa…",
|
||||
command=lambda: build_tecnicas_window("Início da pesquisa", inicio_data)
|
||||
).grid(row=len(fields), column=1, sticky="w", pady=(14, 0), padx=(12, 0))
|
||||
|
||||
presence_frame = ttk.LabelFrame(frm, text="Presenças na pesquisa", padding=12)
|
||||
presence_frame.grid(row=len(fields) + 1, column=0, columnspan=4, sticky="w", pady=(12, 6))
|
||||
|
||||
presenca_rows = {
|
||||
"segurado": [],
|
||||
"lesado": [],
|
||||
"outro": [],
|
||||
}
|
||||
type_frames = {}
|
||||
type_labels = {
|
||||
"segurado": "segurado",
|
||||
"lesado": "lesado",
|
||||
"outro": "outro",
|
||||
}
|
||||
|
||||
def remove_presence_row(tipo: str, row_data: dict):
|
||||
row_data["frame"].destroy()
|
||||
presenca_rows[tipo] = [r for r in presenca_rows[tipo] if r is not row_data]
|
||||
|
||||
def add_presence_row(tipo: str):
|
||||
container = type_frames[tipo]
|
||||
row = ttk.Frame(container)
|
||||
row.pack(fill="x", pady=3)
|
||||
|
||||
nome_var = tk.StringVar(value="")
|
||||
info_var = tk.StringVar(value="")
|
||||
|
||||
ttk.Label(row, text=f"Nome do {type_labels[tipo]}:").grid(row=0, column=0, sticky="w")
|
||||
ttk.Entry(row, textvariable=nome_var, width=30).grid(row=0, column=1, sticky="w", padx=6)
|
||||
ttk.Label(row, text="Declaraçoes:").grid(row=0, column=2, sticky="w", padx=(12, 0))
|
||||
ttk.Entry(row, textvariable=info_var, width=42).grid(row=0, column=3, sticky="w", padx=6)
|
||||
|
||||
row_data = {
|
||||
"frame": row,
|
||||
"nome": nome_var,
|
||||
"info": info_var,
|
||||
}
|
||||
|
||||
ttk.Button(
|
||||
row,
|
||||
text="Remover",
|
||||
command=lambda t=tipo, d=row_data: remove_presence_row(t, d)
|
||||
).grid(row=0, column=4, sticky="w", padx=(8, 0))
|
||||
|
||||
presenca_rows[tipo].append(row_data)
|
||||
|
||||
def build_presence_section(parent, row_index: int, tipo: str, titulo: str):
|
||||
sec = ttk.Frame(parent)
|
||||
sec.grid(row=row_index, column=0, sticky="w", pady=4)
|
||||
ttk.Label(sec, text=titulo).grid(row=0, column=0, sticky="w")
|
||||
ttk.Button(
|
||||
sec,
|
||||
text=f"Adicionar {type_labels[tipo]}",
|
||||
command=lambda t=tipo: add_presence_row(t)
|
||||
).grid(row=0, column=1, sticky="w", padx=(10, 0))
|
||||
|
||||
container = ttk.Frame(sec)
|
||||
container.grid(row=1, column=0, columnspan=2, sticky="w", pady=(6, 0))
|
||||
type_frames[tipo] = container
|
||||
|
||||
build_presence_section(presence_frame, 0, "segurado", "Segurados")
|
||||
build_presence_section(presence_frame, 1, "lesado", "Lesados")
|
||||
build_presence_section(presence_frame, 2, "outro", "Outros")
|
||||
|
||||
add_presence_row("segurado")
|
||||
|
||||
|
||||
def on_generate():
|
||||
values = {k: e.get() for k, e in entries.items()}
|
||||
values["foto1_path"] = foto_var.get()
|
||||
values["fotos2_paths"] = list(fotos2_var.get()) if fotos2_var.get() else []
|
||||
values["tecnicas"] = [
|
||||
{
|
||||
"name": t["name"],
|
||||
"selected": t["var"].get(),
|
||||
"desc": t["desc"].get(),
|
||||
"photos": list(t["photos"].get()) if t["photos"].get() else [],
|
||||
}
|
||||
for t in tecnicas_data
|
||||
]
|
||||
values["inicio_pesquisa"] = [
|
||||
{
|
||||
"name": t["name"],
|
||||
"selected": t["var"].get(),
|
||||
"desc": t["desc"].get(),
|
||||
"photos": list(t["photos"].get()) if t["photos"].get() else [],
|
||||
}
|
||||
for t in inicio_data
|
||||
]
|
||||
values["presencas"] = []
|
||||
for tipo in ("segurado", "lesado", "outro"):
|
||||
for row in presenca_rows[tipo]:
|
||||
values["presencas"].append(
|
||||
{
|
||||
"tipo": tipo,
|
||||
"nome": row["nome"].get(),
|
||||
"info": row["info"].get(),
|
||||
}
|
||||
)
|
||||
run_generation(values, root)
|
||||
|
||||
|
||||
btns = ttk.Frame(frm)
|
||||
btns.grid(row=len(fields) + 2, column=0, columnspan=2, sticky="w", pady=(18, 0))
|
||||
|
||||
ttk.Button(btns, text="Gerar Word", command=on_generate).pack(side="left")
|
||||
ttk.Button(btns, text="Sair", command=root.destroy).pack(side="left", padx=10)
|
||||
|
||||
root.mainloop()
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,39 +0,0 @@
|
||||
# -*- mode: python ; coding: utf-8 -*-
|
||||
|
||||
|
||||
a = Analysis(
|
||||
['d:\\Trabalhos\\V-aguatech\\Vitor\\vaguatechrelatorios.py'],
|
||||
pathex=[],
|
||||
binaries=[],
|
||||
datas=[],
|
||||
hiddenimports=[],
|
||||
hookspath=[],
|
||||
hooksconfig={},
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
noarchive=False,
|
||||
optimize=0,
|
||||
)
|
||||
pyz = PYZ(a.pure)
|
||||
|
||||
exe = EXE(
|
||||
pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.datas,
|
||||
[],
|
||||
name='vaguatechrelatorios',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
upx_exclude=[],
|
||||
runtime_tmpdir=None,
|
||||
console=False,
|
||||
disable_windowed_traceback=False,
|
||||
argv_emulation=False,
|
||||
target_arch=None,
|
||||
codesign_identity=None,
|
||||
entitlements_file=None,
|
||||
icon=['d:\\Trabalhos\\V-aguatech\\Vitor\\icon.ico'],
|
||||
)
|
||||
@@ -1,754 +0,0 @@
|
||||
import os
|
||||
import sys
|
||||
import tkinter as tk
|
||||
from tkinter import ttk
|
||||
from datetime import datetime
|
||||
from docx import Document
|
||||
from tkinter import filedialog
|
||||
from PIL import Image
|
||||
import tempfile
|
||||
from docx.shared import Inches, Pt, RGBColor
|
||||
import io
|
||||
|
||||
|
||||
TEMPLATE_DOCX = "Corpus.docx"
|
||||
|
||||
def resource_path(relative_path: str) -> str:
|
||||
try:
|
||||
base_path = sys._MEIPASS
|
||||
except Exception:
|
||||
base_path = os.path.abspath(".")
|
||||
return os.path.join(base_path, relative_path)
|
||||
|
||||
def image_to_png_stream(image_path: str) -> io.BytesIO:
|
||||
with Image.open(image_path) as img:
|
||||
if img.mode not in ("RGB", "RGBA"):
|
||||
img = img.convert("RGB")
|
||||
bio = io.BytesIO()
|
||||
img.save(bio, format="PNG")
|
||||
bio.seek(0)
|
||||
return bio
|
||||
|
||||
|
||||
def insert_image_at_placeholder(doc: Document, placeholder: str, image_path: str, width_inches: float = 6.20) -> bool:
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
return False
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
run = p.add_run()
|
||||
run.add_picture(img_stream, width=Inches(width_inches))
|
||||
return True
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def insert_images_at_placeholders(doc: Document, placeholders: dict, width_inches: float = 6.20) -> list:
|
||||
missing = []
|
||||
for placeholder, image_path in placeholders.items():
|
||||
if not image_path:
|
||||
continue
|
||||
ok = insert_image_at_placeholder(doc, placeholder, image_path, width_inches=width_inches)
|
||||
if not ok:
|
||||
missing.append(placeholder)
|
||||
return missing
|
||||
|
||||
def insert_tecnicas_utilizadas(doc: Document, placeholder: str, tecnicas: list) -> bool:
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
|
||||
first_block = True
|
||||
for t in tecnicas:
|
||||
if not t.get("selected"):
|
||||
continue
|
||||
nome = (t.get("name") or "").strip()
|
||||
desc = (t.get("desc") or "").strip()
|
||||
fotos = t.get("photos") or []
|
||||
|
||||
if not nome:
|
||||
continue
|
||||
if not first_block:
|
||||
p.add_run().add_break()
|
||||
p.add_run().add_break()
|
||||
|
||||
run_title = p.add_run(nome)
|
||||
run_title.font.name = "Verdana"
|
||||
run_title.font.size = Pt(11)
|
||||
run_title.font.color.rgb = RGBColor(0x4A, 0x66, 0xAC)
|
||||
p.add_run().add_break()
|
||||
|
||||
if desc:
|
||||
run_desc = p.add_run(desc)
|
||||
run_desc.font.name = "Verdana"
|
||||
run_desc.font.size = Pt(10)
|
||||
run_desc.font.color.rgb = RGBColor(0x66, 0x66, 0x66)
|
||||
p.add_run().add_break()
|
||||
|
||||
if fotos:
|
||||
for i, image_path in enumerate(fotos):
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
continue
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
run_img = p.add_run()
|
||||
run_img.add_picture(img_stream, width=Inches(2.80))
|
||||
is_last = i == len(fotos) - 1
|
||||
if not is_last:
|
||||
if i % 2 == 0:
|
||||
p.add_run(" ")
|
||||
else:
|
||||
p.add_run().add_break()
|
||||
p.add_run().add_break()
|
||||
|
||||
first_block = False
|
||||
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
def insert_metodos_utilizados(doc: Document, placeholder: str, values: dict) -> bool:
|
||||
items = []
|
||||
seen = set()
|
||||
for group_key in ("inicio_pesquisa", "tecnicas"):
|
||||
for t in values.get(group_key) or []:
|
||||
if not t.get("selected"):
|
||||
continue
|
||||
name = (t.get("name") or "").strip()
|
||||
if not name or name in seen:
|
||||
continue
|
||||
seen.add(name)
|
||||
items.append(name)
|
||||
|
||||
if not items:
|
||||
return False
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
|
||||
for i, name in enumerate(items):
|
||||
run = p.add_run(f"- {name}")
|
||||
run.font.name = "Verdana"
|
||||
run.font.size = Pt(10)
|
||||
run.font.color.rgb = RGBColor(0x66, 0x66, 0x66)
|
||||
if i < len(items) - 1:
|
||||
p.add_run().add_break()
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
def insert_multiple_images_at_placeholder(doc: Document, placeholder: str, image_paths: list, width_inches: float = 2.80) -> bool:
|
||||
if not image_paths:
|
||||
return False
|
||||
|
||||
def replace_in_paragraph(p) -> bool:
|
||||
full_text = "".join(run.text for run in p.runs)
|
||||
if placeholder not in full_text:
|
||||
return False
|
||||
for r in p.runs:
|
||||
r.text = ""
|
||||
for i, image_path in enumerate(image_paths):
|
||||
if not image_path or not os.path.exists(image_path):
|
||||
continue
|
||||
try:
|
||||
img_stream = image_to_png_stream(image_path)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Não consegui abrir/convert a imagem:\n{image_path}\n\nDetalhes:\n{e}")
|
||||
run = p.add_run()
|
||||
run.add_picture(img_stream, width=Inches(width_inches))
|
||||
is_last = i == len(image_paths) - 1
|
||||
if not is_last:
|
||||
if i % 2 == 0:
|
||||
p.add_run(" ")
|
||||
else:
|
||||
p.add_run().add_break()
|
||||
return True
|
||||
|
||||
for p in doc.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
for section in doc.sections:
|
||||
for p in section.header.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
for p in section.footer.paragraphs:
|
||||
if replace_in_paragraph(p):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def fatal_popup_and_exit(title: str, msg: str, exit_code: int = 1):
|
||||
win = tk.Tk()
|
||||
win.title(title)
|
||||
win.geometry("520x260")
|
||||
win.resizable(False, False)
|
||||
frm = ttk.Frame(win, padding=14)
|
||||
frm.pack(fill="both", expand=True)
|
||||
ttk.Label(frm, text=title, font=("Segoe UI", 12, "bold")).pack(anchor="w", pady=(0, 8))
|
||||
txt = tk.Text(frm, height=8, wrap="word")
|
||||
txt.pack(fill="both", expand=True)
|
||||
txt.insert("1.0", msg)
|
||||
txt.config(state="disabled")
|
||||
def close_and_exit():
|
||||
win.destroy()
|
||||
raise SystemExit(exit_code)
|
||||
ttk.Button(frm, text="OK", command=close_and_exit).pack(anchor="e", pady=(10, 0))
|
||||
win.protocol("WM_DELETE_WINDOW", close_and_exit)
|
||||
win.mainloop()
|
||||
|
||||
def info_popup(title: str, msg: str):
|
||||
win = tk.Toplevel()
|
||||
win.title(title)
|
||||
win.geometry("520x240")
|
||||
win.resizable(False, False)
|
||||
frm = ttk.Frame(win, padding=14)
|
||||
frm.pack(fill="both", expand=True)
|
||||
ttk.Label(frm, text=title, font=("Segoe UI", 12, "bold")).pack(anchor="w", pady=(0, 8))
|
||||
txt = tk.Text(frm, height=7, wrap="word")
|
||||
txt.pack(fill="both", expand=True)
|
||||
txt.insert("1.0", msg)
|
||||
txt.config(state="disabled")
|
||||
def close():
|
||||
win.destroy()
|
||||
ttk.Button(frm, text="OK", command=close).pack(anchor="e", pady=(10, 0))
|
||||
win.grab_set()
|
||||
win.focus_force()
|
||||
|
||||
def replace_placeholders_in_doc(doc: Document, mapping: dict) -> None:
|
||||
for p in doc.paragraphs:
|
||||
text = p.text
|
||||
new_text = text
|
||||
for k, v in mapping.items():
|
||||
new_text = new_text.replace(k, v)
|
||||
if new_text != text:
|
||||
p.text = new_text
|
||||
for table in doc.tables:
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for p in cell.paragraphs:
|
||||
text = p.text
|
||||
new_text = text
|
||||
for k, v in mapping.items():
|
||||
new_text = new_text.replace(k, v)
|
||||
if new_text != text:
|
||||
p.text = new_text
|
||||
|
||||
def generate_output_filename() -> str:
|
||||
stamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
|
||||
return f"{stamp}.docx"
|
||||
|
||||
def build_presence_text(values: dict) -> str:
|
||||
parts = []
|
||||
present_people = []
|
||||
|
||||
presencas = values.get("presencas") or []
|
||||
|
||||
if not presencas:
|
||||
if values.get("segurado_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "segurado",
|
||||
"nome": values.get("segurado_nome"),
|
||||
"info": values.get("segurado_info"),
|
||||
}
|
||||
)
|
||||
if values.get("lesado_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "lesado",
|
||||
"nome": values.get("lesado_nome"),
|
||||
"info": values.get("lesado_info"),
|
||||
}
|
||||
)
|
||||
if values.get("outro_presente"):
|
||||
presencas.append(
|
||||
{
|
||||
"tipo": "outro",
|
||||
"nome": values.get("outro_nome"),
|
||||
"info": values.get("outro_info"),
|
||||
}
|
||||
)
|
||||
|
||||
def join_people(items: list) -> str:
|
||||
if not items:
|
||||
return ""
|
||||
if len(items) == 1:
|
||||
return items[0]
|
||||
return ", ".join(items[:-1]) + " e " + items[-1]
|
||||
|
||||
for item in presencas:
|
||||
tipo = (item.get("tipo") or "").strip().lower()
|
||||
nome = (item.get("nome") or "").strip()
|
||||
info = (item.get("info") or "").strip()
|
||||
if not nome:
|
||||
continue
|
||||
|
||||
if tipo == "segurado":
|
||||
present_people.append(f"o segurado, {nome}")
|
||||
if info:
|
||||
parts.append(f"O segurado, {nome} informou que {info}.")
|
||||
elif tipo == "lesado":
|
||||
present_people.append(f"o lesado, {nome}")
|
||||
if info:
|
||||
parts.append(f"O lesado, {nome} informou que {info}.")
|
||||
else:
|
||||
present_people.append(nome)
|
||||
if info:
|
||||
parts.append(f"{nome} informou que {info}.")
|
||||
|
||||
header = ""
|
||||
if present_people:
|
||||
joined = join_people(present_people)
|
||||
if len(present_people) == 1:
|
||||
header = f"{joined} esteve presente aquando a pesquisa."
|
||||
else:
|
||||
header = f"{joined} estiveram presentes aquando a pesquisa."
|
||||
|
||||
if header and parts:
|
||||
return header + "\n\n" + "\n".join(parts)
|
||||
if header:
|
||||
return header
|
||||
if parts:
|
||||
return "\n".join(parts)
|
||||
return ""
|
||||
|
||||
def run_generation(values: dict, root: tk.Tk):
|
||||
mapping = {
|
||||
"{{nproc}}": (values.get("nproc") or "").strip(),
|
||||
"{{segurado}}": (values.get("segurado") or "").strip(),
|
||||
"{{comp}}": (values.get("comp") or "").strip(),
|
||||
"{{terceiro}}": (values.get("terceiro") or "").strip(),
|
||||
"{{data}}": (values.get("data") or "").strip(),
|
||||
"{{local da visita}}": (values.get("local") or "").strip(),
|
||||
"{{descriçãoimovel}}": (values.get("descriçãoimovel") or "").strip(),
|
||||
"{{anoconstr}}": (values.get("anoconstr") or "").strip(),
|
||||
"{{presencas}}": build_presence_text(values),
|
||||
"{{descricao}}": (values.get("descricao") or "").strip(),
|
||||
"{{area}}": (values.get("area") or "").strip(),
|
||||
}
|
||||
|
||||
template_path = resource_path(TEMPLATE_DOCX)
|
||||
if not os.path.exists(template_path):
|
||||
try:
|
||||
root.destroy()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
fatal_popup_and_exit(
|
||||
"Erro: template não encontrado",
|
||||
f"Não encontrei o template '{TEMPLATE_DOCX}'.\n\n"
|
||||
f"Coloca o ficheiro '{TEMPLATE_DOCX}' na mesma pasta do executável e volta a executar."
|
||||
)
|
||||
return
|
||||
|
||||
output_docx = generate_output_filename()
|
||||
|
||||
try:
|
||||
doc = Document(template_path)
|
||||
replace_placeholders_in_doc(doc, mapping)
|
||||
foto1_path = (values.get("foto1_path") or "").strip()
|
||||
fotos2_paths = values.get("fotos2_paths") or []
|
||||
placeholders = {
|
||||
"{{foto1}}": foto1_path,
|
||||
}
|
||||
missing = insert_images_at_placeholders(doc, placeholders, width_inches=6.20)
|
||||
if missing:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei os placeholders no template (corpo/cabeçalho/rodapé):\n"
|
||||
+ ", ".join(missing)
|
||||
)
|
||||
if fotos2_paths:
|
||||
ok_multi = insert_multiple_images_at_placeholder(doc, "{{foto2}}", fotos2_paths, width_inches=2.80)
|
||||
if not ok_multi:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{foto2}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
tecnicas = values.get("tecnicas") or []
|
||||
if tecnicas:
|
||||
ok_tecnicas = insert_tecnicas_utilizadas(doc, "{{tecnicasutilizadas}}", tecnicas)
|
||||
if not ok_tecnicas:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{tecnicasutilizadas}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
inicio_pesquisa = values.get("inicio_pesquisa") or []
|
||||
if inicio_pesquisa:
|
||||
ok_inicio = insert_tecnicas_utilizadas(doc, "{{iniciopesquisa}}", inicio_pesquisa)
|
||||
if not ok_inicio:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{iniciopesquisa}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
if values.get("inicio_pesquisa") or values.get("tecnicas"):
|
||||
ok_metodos = insert_metodos_utilizados(doc, "{{metodosutilizados}}", values)
|
||||
if not ok_metodos:
|
||||
info_popup(
|
||||
"Aviso",
|
||||
"Não encontrei o placeholder {{metodosutilizados}} no template (corpo/cabeçalho/rodapé)."
|
||||
)
|
||||
doc.save(output_docx)
|
||||
info_popup("Sucesso", f"Documento gerado com sucesso:\n\n{output_docx}")
|
||||
|
||||
except Exception as e:
|
||||
try:
|
||||
root.destroy()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
fatal_popup_and_exit(
|
||||
"Erro ao gerar documento",
|
||||
f"Falhou ao gerar o documento.\n\nDetalhes:\n{e}"
|
||||
)
|
||||
|
||||
def choose_image(foto_var):
|
||||
path = filedialog.askopenfilename(
|
||||
title="Selecionar fotografia",
|
||||
filetypes=[
|
||||
("Imagens", "*.png *.jpg *.jpeg *.bmp"),
|
||||
("Todos os ficheiros", "*.*"),
|
||||
],
|
||||
)
|
||||
if path:
|
||||
foto_var.set(path)
|
||||
|
||||
def choose_images(fotos_var, label_var):
|
||||
paths = filedialog.askopenfilenames(
|
||||
title="Selecionar fotografias",
|
||||
filetypes=[
|
||||
("Imagens", "*.png *.jpg *.jpeg *.bmp"),
|
||||
("Todos os ficheiros", "*.*"),
|
||||
],
|
||||
)
|
||||
if paths:
|
||||
fotos_var.set(list(paths))
|
||||
label_var.set(f"{len(paths)} imagem(ns)")
|
||||
|
||||
def main():
|
||||
root = tk.Tk()
|
||||
root.title("Preencher Corpus (Word)")
|
||||
root.geometry("1120x640")
|
||||
root.resizable(False, False)
|
||||
|
||||
frm = ttk.Frame(root, padding=16)
|
||||
frm.pack(fill="both", expand=True)
|
||||
|
||||
fields = [("Nº do Processo:", "nproc"),("Segurado:", "segurado"),
|
||||
("Companhia:", "comp"),
|
||||
("Terceiro:", "terceiro"),
|
||||
("Data da visita:", "data"),
|
||||
("Local da visita:", "local"),
|
||||
("Descrição do imóvel:", "descriçãoimovel"),
|
||||
("Ano de Construção:", "anoconstr"),
|
||||
("Descrição da pesquisa:", "descricao"),
|
||||
("Área do do espaço:", "area")
|
||||
]
|
||||
|
||||
entries = {}
|
||||
foto_var = tk.StringVar(value="")
|
||||
fotos2_var = tk.Variable(value=[])
|
||||
fotos2_label = tk.StringVar(value="")
|
||||
tecnicas_data = []
|
||||
inicio_data = []
|
||||
|
||||
for i, (label, key) in enumerate(fields):
|
||||
ttk.Label(frm, text=label).grid(row=i, column=0, sticky="w", pady=6)
|
||||
ent = ttk.Entry(frm, width=80)
|
||||
ent.grid(row=i, column=1, sticky="w", pady=6)
|
||||
entries[key] = ent
|
||||
if key == "descriçãoimovel":
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Escolher imagem…",
|
||||
command=lambda: choose_image(foto_var)
|
||||
).grid(row=i, column=2, sticky="w", padx=8)
|
||||
|
||||
ttk.Label(
|
||||
frm,
|
||||
textvariable=foto_var,
|
||||
width=28
|
||||
).grid(row=i, column=4, sticky="w")
|
||||
if key == "descricao":
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Escolher imagens…",
|
||||
command=lambda: choose_images(fotos2_var, fotos2_label)
|
||||
).grid(row=i, column=2, sticky="w", padx=8)
|
||||
|
||||
ttk.Label(
|
||||
frm,
|
||||
textvariable=fotos2_label,
|
||||
width=14
|
||||
).grid(row=i, column=4, sticky="w")
|
||||
|
||||
def build_tecnicas_window(title: str, data_list: list):
|
||||
win = tk.Toplevel(root)
|
||||
win.title(title)
|
||||
win.geometry("980x520")
|
||||
win.resizable(False, False)
|
||||
|
||||
container = ttk.Frame(win, padding=16)
|
||||
container.pack(fill="both", expand=True)
|
||||
|
||||
if not data_list:
|
||||
tecnicas_list = [
|
||||
"Controlo Visual",
|
||||
"Medição de humidade",
|
||||
"Câmara térmica",
|
||||
"Câmara endoscópica",
|
||||
"Obturação",
|
||||
"Teste de pressão",
|
||||
"Teste com corantes",
|
||||
]
|
||||
for nome in tecnicas_list:
|
||||
data_list.append({
|
||||
"name": nome,
|
||||
"var": tk.BooleanVar(value=False),
|
||||
"desc": tk.StringVar(value=""),
|
||||
"photos": tk.Variable(value=[]),
|
||||
"label": tk.StringVar(value=""),
|
||||
})
|
||||
|
||||
def set_row_state(row_widgets, enabled: bool):
|
||||
state = "normal" if enabled else "disabled"
|
||||
for w in row_widgets:
|
||||
w.configure(state=state)
|
||||
|
||||
for idx, item in enumerate(data_list):
|
||||
row = ttk.Frame(container)
|
||||
row.pack(fill="x", pady=6)
|
||||
|
||||
chk = ttk.Checkbutton(
|
||||
row,
|
||||
text=item["name"],
|
||||
variable=item["var"],
|
||||
command=lambda it=item: set_row_state(it["widgets"], it["var"].get())
|
||||
)
|
||||
chk.grid(row=0, column=0, sticky="w")
|
||||
|
||||
ttk.Label(row, text="Descrição:").grid(row=0, column=1, sticky="w", padx=(12, 4))
|
||||
entry = ttk.Entry(row, textvariable=item["desc"], width=50)
|
||||
entry.grid(row=0, column=2, sticky="w")
|
||||
|
||||
btn = ttk.Button(
|
||||
row,
|
||||
text="Escolher fotos…",
|
||||
command=lambda it=item: choose_images(it["photos"], it["label"])
|
||||
)
|
||||
btn.grid(row=0, column=3, sticky="w", padx=10)
|
||||
|
||||
lbl = ttk.Label(row, textvariable=item["label"], width=18)
|
||||
lbl.grid(row=0, column=4, sticky="w")
|
||||
|
||||
item["widgets"] = [entry, btn]
|
||||
set_row_state(item["widgets"], item["var"].get())
|
||||
|
||||
ttk.Button(container, text="Fechar", command=win.destroy).pack(anchor="e", pady=(12, 0))
|
||||
win.grab_set()
|
||||
win.focus_force()
|
||||
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Técnicas utilizadas…",
|
||||
command=lambda: build_tecnicas_window("Técnicas utilizadas", tecnicas_data)
|
||||
).grid(row=len(fields), column=0, sticky="w", pady=(14, 0))
|
||||
|
||||
ttk.Button(
|
||||
frm,
|
||||
text="Início da pesquisa…",
|
||||
command=lambda: build_tecnicas_window("Início da pesquisa", inicio_data)
|
||||
).grid(row=len(fields), column=1, sticky="w", pady=(14, 0), padx=(12, 0))
|
||||
|
||||
presence_frame = ttk.LabelFrame(frm, text="Presencas na pesquisa", padding=12)
|
||||
presence_frame.grid(row=len(fields) + 1, column=0, columnspan=4, sticky="w", pady=(12, 6))
|
||||
|
||||
presenca_rows = {
|
||||
"segurado": [],
|
||||
"lesado": [],
|
||||
"outro": [],
|
||||
}
|
||||
type_frames = {}
|
||||
type_labels = {
|
||||
"segurado": "segurado",
|
||||
"lesado": "lesado",
|
||||
"outro": "outro",
|
||||
}
|
||||
|
||||
def remove_presence_row(tipo: str, row_data: dict):
|
||||
row_data["frame"].destroy()
|
||||
presenca_rows[tipo] = [r for r in presenca_rows[tipo] if r is not row_data]
|
||||
|
||||
def add_presence_row(tipo: str):
|
||||
container = type_frames[tipo]
|
||||
row = ttk.Frame(container)
|
||||
row.pack(fill="x", pady=3)
|
||||
|
||||
nome_var = tk.StringVar(value="")
|
||||
info_var = tk.StringVar(value="")
|
||||
|
||||
ttk.Label(row, text=f"Nome do {type_labels[tipo]}:").grid(row=0, column=0, sticky="w")
|
||||
ttk.Entry(row, textvariable=nome_var, width=30).grid(row=0, column=1, sticky="w", padx=6)
|
||||
ttk.Label(row, text="Declaracoes:").grid(row=0, column=2, sticky="w", padx=(12, 0))
|
||||
ttk.Entry(row, textvariable=info_var, width=42).grid(row=0, column=3, sticky="w", padx=6)
|
||||
|
||||
row_data = {
|
||||
"frame": row,
|
||||
"nome": nome_var,
|
||||
"info": info_var,
|
||||
}
|
||||
|
||||
ttk.Button(
|
||||
row,
|
||||
text="Remover",
|
||||
command=lambda t=tipo, d=row_data: remove_presence_row(t, d)
|
||||
).grid(row=0, column=4, sticky="w", padx=(8, 0))
|
||||
|
||||
presenca_rows[tipo].append(row_data)
|
||||
|
||||
def build_presence_section(parent, row_index: int, tipo: str, titulo: str):
|
||||
sec = ttk.Frame(parent)
|
||||
sec.grid(row=row_index, column=0, sticky="w", pady=4)
|
||||
ttk.Label(sec, text=titulo).grid(row=0, column=0, sticky="w")
|
||||
ttk.Button(
|
||||
sec,
|
||||
text=f"Adicionar {type_labels[tipo]}",
|
||||
command=lambda t=tipo: add_presence_row(t)
|
||||
).grid(row=0, column=1, sticky="w", padx=(10, 0))
|
||||
|
||||
container = ttk.Frame(sec)
|
||||
container.grid(row=1, column=0, columnspan=2, sticky="w", pady=(6, 0))
|
||||
type_frames[tipo] = container
|
||||
|
||||
build_presence_section(presence_frame, 0, "segurado", "Segurados")
|
||||
build_presence_section(presence_frame, 1, "lesado", "Lesados")
|
||||
build_presence_section(presence_frame, 2, "outro", "Outros")
|
||||
|
||||
add_presence_row("segurado")
|
||||
|
||||
|
||||
def on_generate():
|
||||
values = {k: e.get() for k, e in entries.items()}
|
||||
values["foto1_path"] = foto_var.get()
|
||||
values["fotos2_paths"] = list(fotos2_var.get()) if fotos2_var.get() else []
|
||||
values["tecnicas"] = [
|
||||
{
|
||||
"name": t["name"],
|
||||
"selected": t["var"].get(),
|
||||
"desc": t["desc"].get(),
|
||||
"photos": list(t["photos"].get()) if t["photos"].get() else [],
|
||||
}
|
||||
for t in tecnicas_data
|
||||
]
|
||||
values["inicio_pesquisa"] = [
|
||||
{
|
||||
"name": t["name"],
|
||||
"selected": t["var"].get(),
|
||||
"desc": t["desc"].get(),
|
||||
"photos": list(t["photos"].get()) if t["photos"].get() else [],
|
||||
}
|
||||
for t in inicio_data
|
||||
]
|
||||
values["presencas"] = []
|
||||
for tipo in ("segurado", "lesado", "outro"):
|
||||
for row in presenca_rows[tipo]:
|
||||
values["presencas"].append(
|
||||
{
|
||||
"tipo": tipo,
|
||||
"nome": row["nome"].get(),
|
||||
"info": row["info"].get(),
|
||||
}
|
||||
)
|
||||
run_generation(values, root)
|
||||
|
||||
|
||||
btns = ttk.Frame(frm)
|
||||
btns.grid(row=len(fields) + 2, column=0, columnspan=2, sticky="w", pady=(18, 0))
|
||||
|
||||
ttk.Button(btns, text="Gerar Word", command=on_generate).pack(side="left")
|
||||
ttk.Button(btns, text="Sair", command=root.destroy).pack(side="left", padx=10)
|
||||
|
||||
root.mainloop()
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,39 +0,0 @@
|
||||
# -*- mode: python ; coding: utf-8 -*-
|
||||
|
||||
|
||||
a = Analysis(
|
||||
['vaguatechrelatorios_VF1.py'],
|
||||
pathex=[],
|
||||
binaries=[],
|
||||
datas=[('Corpus.docx', '.')],
|
||||
hiddenimports=[],
|
||||
hookspath=[],
|
||||
hooksconfig={},
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
noarchive=False,
|
||||
optimize=0,
|
||||
)
|
||||
pyz = PYZ(a.pure)
|
||||
|
||||
exe = EXE(
|
||||
pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.datas,
|
||||
[],
|
||||
name='vaguatechrelatorios_VF1',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
upx_exclude=[],
|
||||
runtime_tmpdir=None,
|
||||
console=False,
|
||||
disable_windowed_traceback=False,
|
||||
argv_emulation=False,
|
||||
target_arch=None,
|
||||
codesign_identity=None,
|
||||
entitlements_file=None,
|
||||
icon=['icon.ico'],
|
||||
)
|
||||
Reference in New Issue
Block a user