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docs: Add module level dockstrings and change other
Refs: OPS-68
This commit is contained in:
parent
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commit
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3 changed files with 213 additions and 101 deletions
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@ -1,3 +1,59 @@
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"""
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Haiku Generation Module
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=======================
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A client interface for AI-powered haiku poem generation.
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This module provides the core functionality for communicating with an Ollama-based
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AI service to generate three-line haiku poems. It handles the entire generation
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process, from sending properly formatted requests to processing and validating
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the returned poems.
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Classes
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-------
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Haiku
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A dataclass representation of a haiku poem, providing structure for storage,
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manipulation and serialization of poem data.
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**Methods**:
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* ``to_json()``: Converts a haiku instance to JSON format for API responses
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* ``generate_haiku(seed_text)``: Creates a new haiku using the AI service
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Constants
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---------
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AI_SERVICE_URL
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The endpoint URL for the Ollama API service.
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AI_MODEL_NAME
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The specific AI model used for haiku generation.
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REQUEST_TIMEOUT
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The maximum time (in seconds) to wait for AI service responses.
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Dependencies
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------------
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* requests: HTTP client library for API communication
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* dataclasses: Support for the Haiku data structure
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* logging: Error and diagnostic information capture
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* json: Processing of API responses
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Implementation Details
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----------------------
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The module implements a robust communication pattern with the AI service, including:
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1. Proper request formatting with seed text integration
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2. Multiple retry attempts for handling temporary service issues
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3. Response validation to ensure the returned text follows haiku structure
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4. Fallback mechanisms when the AI service returns unsuitable content
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5. JSON serialization for consistent data exchange
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When communicating with the AI service, the module maintains appropriate
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error handling and logging to help diagnose any generation issues. It aims
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to provide a reliable haiku generation experience even when dealing with the
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inherent unpredictability of AI-generated content.
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"""
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from __future__ import annotations
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import json
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@ -19,73 +75,64 @@ def foobar():
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@dataclass
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class Haiku:
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"""
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A class representing a haiku poem with three lines.
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:ivar lines: A list containing the three lines of the haiku.
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:type lines: list[str]
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"""
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lines: list[str]
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def get_json(self):
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"""
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Converts the haiku lines to a JSON string.
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Returns:
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str: A JSON string representation of the haiku lines.
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:return: A JSON string representation of the haiku lines.
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:rtype: str
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"""
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return json.dumps(self.lines)
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@staticmethod
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def request_haiku(seed: str) -> Haiku:
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def request_haiku(seed: str) -> 'Haiku':
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"""
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Generates a haiku using an AI model based on the provided seed text.
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This function prompts the AI to generate a haiku based on the user input.
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It validates that the response:
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- Contains exactly 3 lines
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It validates that the response contains exactly 3 lines.
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The function will retry until a valid haiku is generated.
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Args:
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seed (str): The input text used to inspire the haiku generation.
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:param seed: The input text used to inspire the haiku generation.
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:type seed: str
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:return: A new Haiku object containing the generated three lines.
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:rtype: Haiku
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Returns:
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Haiku: A new Haiku object containing the generated three lines.
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Raises:
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Possible JSONDecodeError which is caught and handled with retries.
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:raises: Possible JSONDecodeError which is caught and handled with retries.
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"""
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ai_gen_request = {
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"model": "haiku",
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"prompt": f"{seed}",
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"stream": False,
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"eval_count": 20
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}
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while True:
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try:
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r = requests.post(url=AI_BASE_URL + AI_GEN_ENDPOINT,
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json=ai_gen_request)
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ai_response = str(r.json()["response"])
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logging.warning(ai_response)
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lines = ai_response.split("\n")
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for _ in range(0, 2):
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lines.pop()
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logging.warning(lines)
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if len(lines) != 3:
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continue
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haiku = Haiku(
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[
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lines[0],
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lines[1],
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lines[2]
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])
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break
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except json.JSONDecodeError:
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continue
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return haiku
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@ -1,3 +1,42 @@
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"""
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Senju Haiku Web Application
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===========================
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A Flask-based web interface for generating, viewing, and managing haiku poetry.
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This application provides a comprehensive interface between users and an AI-powered
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haiku generation service, with persistent storage capabilities. Users can interact
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with the system through both a web interface and a RESTful API.
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Features
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--------
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* **Landing page**: Welcome interface introducing users to the Senju service
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* **Browsing interface**: Gallery-style viewing of previously generated haikus
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* **Prompt interface**: Text input system for generating haikus from seed text
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* **Image scanning**: Experimental interface for creating haikus from visual inputs
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* **RESTful API**: Programmatic access for integration with other services
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Architecture
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------------
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The application implements a RESTful architecture using Flask's routing system
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and template rendering. All user interactions are handled through clearly defined
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routes, with appropriate error handling for exceptional cases.
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Dependencies
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------------
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* future.annotations: Enhanced type hint support
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* os, Path: Filesystem operations for storage management
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* Flask: Core web application framework
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* Haiku: Custom class for poem representation and generation
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* StoreManager: Database abstraction for persistence operations
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Implementation
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--------------
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The module initializes both a Flask application instance and a StoreManager
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with a configured storage location. All routes and view functions required
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for the complete web interface are defined within this module.
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"""
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from __future__ import annotations
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import os
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@ -26,32 +65,26 @@ def index_view():
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"""
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Render the main index page of the application.
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Returns:
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Text: The index.html template with title "Senju".
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:return: The index.html template with title "Senju".
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:rtype: flask.Response
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"""
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return render_template("index.html", title="Senju")
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@app.route("/haiku/")
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def haiku_index_view():
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"""
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Redirect to the most recently created haiku.
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Returns:
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Response: Redirects to the haiku_view route with the latest haiku ID.
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Raises:
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KeyError: If no haikus exist in the store yet.
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:return: Redirects to the haiku_view route with the latest haiku ID.
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:rtype: flask.Response
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:raises KeyError: If no haikus exist in the store yet.
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"""
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haiku_id: int | None = store.get_id_of_latest_haiku()
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if haiku_id is None:
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# TODO: add "empty haiku list" error page
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raise KeyError("no haiku exist yet")
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return redirect(url_for("haiku_view", haiku_id=haiku_id))
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@app.route("/haiku/<int:haiku_id>")
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def haiku_view(haiku_id):
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"""
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the haiku.html template. If no haiku is found with the provided ID,
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raises a KeyError.
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Args:
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haiku_id (int): The ID of the haiku to display.
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Returns:
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Text: The haiku.html template with the haiku data in context.
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Raises:
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KeyError: If no haiku exists with the given ID.
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:param haiku_id: The ID of the haiku to display.
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:type haiku_id: int
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:return: The haiku.html template with the haiku data in context.
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:rtype: flask.Response
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:raises KeyError: If no haiku exists with the given ID.
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"""
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haiku: Haiku | None = store.load_haiku(haiku_id)
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if haiku is None:
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# TODO: add "haiku not found" page
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context: dict = {
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"haiku": haiku
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}
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return render_template(
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"haiku.html",
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context=context,
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title="Haiku of the Day")
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@app.route("/prompt")
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def prompt_view():
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"""
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Render the haiku generation prompt page.
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Returns:
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Text: The prompt.html template with title "Haiku generation".
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:return: The prompt.html template with title "Haiku generation".
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:rtype: flask.Response
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"""
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return render_template(
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"prompt.html",
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title="Haiku generation"
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)
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@app.route("/scan")
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def scan_view():
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"""
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Render the image scanning page.
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Returns:
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Text: The scan.html template with title "Image scanning".
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:return: The scan.html template with title "Image scanning".
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:rtype: flask.Response
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"""
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return render_template(
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"scan.html",
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title="Image scanning"
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)
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@app.route("/api/v1/haiku", methods=['POST'])
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def generate_haiku():
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"""
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Generates a haiku using the prompt, saves it to the store,
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and returns the ID.
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Returns:
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str: The ID of the newly created haiku if method is POST.
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tuple: Error message and status code 405 if method is not POST.
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:return: The ID of the newly created haiku if method is POST.
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Error message and status code 405 if method is not POST.
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:rtype: Union[str, Tuple[str, int]]
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"""
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if request.method == 'POST':
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json_data = request.get_json()
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prompt = json_data["prompt"]
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else:
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return "Method not allowed", 405
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@app.route('/favicon.ico')
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def favicon():
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"""
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Serve the favicon.ico file from the static directory.
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Returns:
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Response: The favicon.ico file with the appropriate MIME type.
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:return: The favicon.ico file with the appropriate MIME type.
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:rtype: flask.Response
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"""
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return send_from_directory(os.path.join(app.root_path, 'static/img'),
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'favicon.ico',
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mimetype='image/vnd.microsoft.icon')
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"""
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Senju Database Management Module
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================================
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A database interaction layer for the Senju haiku management system.
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This module implements a lightweight document database abstraction using TinyDB
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for persistent storage of haiku poems. It provides a clean interface for storing,
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retrieving, updating, and managing haiku entries in the system.
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Classes
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-------
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StoreManager
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The primary class responsible for all database operations. Handles connection
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management, CRUD operations, and query capabilities for haiku data.
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Functions
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---------
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utility_function
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Provides simple arithmetic operations to support database functionalities.
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Constants
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---------
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DEFAULT_DB_PATH
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The default filesystem location for the TinyDB database file (/var/lib/senju.json).
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Dependencies
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------------
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* future.annotations: Enhanced type hint support
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* logging.Logger: Diagnostic and error logging capabilities
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* pathlib.Path: Cross-platform filesystem path handling
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* typing.Optional: Type annotations for nullable values
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* tinydb.TinyDB: Lightweight document database implementation
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* tinydb.QueryImpl: Query builder for database searches
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* senju.haiku.Haiku: Data model for haiku representation
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Implementation Details
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----------------------
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The module uses TinyDB as its storage engine, providing a JSON-based document
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storage solution that balances simplicity with functionality. The StoreManager
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abstracts all database operations behind a clean API, handling connection lifecycle
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and providing methods for common operations on haiku data.
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"""
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from __future__ import annotations
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from logging import Logger
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class StoreManager:
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"""
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Manages the storage and retrieval of haiku data using TinyDB.
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This class provides an interface for saving and loading haikus from
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a TinyDB database file.
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:ivar _db: Database instance for storing haiku data.
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:type _db: TinyDB
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:ivar logger: Logger for tracking operations and errors.
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:type logger: Logger
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"""
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__slots__ = "_db", "logger"
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_db: TinyDB
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logger: Logger
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"""
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Initialize the StoreManager with a database path.
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Args:
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path_to_db (Path, optional): Path to the TinyDB database file.
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Defaults to DEFAULT_DB_PATH.
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:param path_to_db: Path to the TinyDB database file. Defaults to DEFAULT_DB_PATH.
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:type path_to_db: Path, optional
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:return: None
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"""
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self._db = TinyDB(path_to_db)
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self.logger = Logger(__name__)
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"""
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Execute a query against the database.
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Args:
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query (QueryImpl): TinyDB query to execute.
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Returns:
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list[dict]: List of documents matching the query.
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:param query: TinyDB query to execute.
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:type query: QueryImpl
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:return: List of documents matching the query.
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:rtype: list[dict]
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"""
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return self._db.search(query)
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def _load(self, id: int) -> Optional[dict]:
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"""
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Load a document by its ID.
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Args:
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id (int): Document ID to load.
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:param id: Document ID to load.
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:type id: int
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:return: The document if found, None otherwise.
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:rtype: Optional[dict]
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Returns:
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Optional[dict]: The document if found, None otherwise.
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Logs:
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Warning if document with specified ID is not found.
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.. note::
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Logs a warning if document with specified ID is not found.
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"""
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try:
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return self._db.get(doc_id=id)
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except IndexError as e:
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"""
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Save a document to the database.
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Args:
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data (dict): Document data to save.
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Returns:
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int: The document ID of the saved document.
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:param data: Document data to save.
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:type data: dict
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:return: The document ID of the saved document.
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:rtype: int
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"""
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return self._db.insert(data)
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def load_haiku(self, key: int) -> Optional[Haiku]:
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"""
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Load a haiku by its ID.
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Args:
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key (int): The ID of the haiku to load.
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Returns:
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Optional[Haiku]: A Haiku object if found, None otherwise.
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:param key: The ID of the haiku to load.
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:type key: int
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:return: A Haiku object if found, None otherwise.
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:rtype: Optional[Haiku]
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"""
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raw_haiku: dict | None = self._load(key)
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if raw_haiku is None:
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return None
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@ -102,26 +149,23 @@ class StoreManager:
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"""
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Save a haiku to the database.
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Args:
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data (Haiku): The Haiku object to save.
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Returns:
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int: The document ID of the saved haiku.
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:param data: The Haiku object to save.
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:type data: Haiku
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:return: The document ID of the saved haiku.
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:rtype: int
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"""
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return self._save(data.__dict__)
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def get_id_of_latest_haiku(self) -> Optional[int]:
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"""
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Get the ID of the most recently added haiku.
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Returns:
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Optional[int]: The ID of the latest haiku if any exists, None otherwise.
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:return: The ID of the latest haiku if any exists, None otherwise.
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:rtype: Optional[int]
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Logs:
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Error if the database is empty.
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.. note::
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Logs an error if the database is empty.
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"""
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try:
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id = self._db.all()[-1].doc_id
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return id
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