## SpecStory

## Project Update and Task Management (27/02/2025, 15:08:54)

_**User**_

Read @PROGRESS.md  update @TODO.md  and work

---

_**Assistant**_

<think>Let me analyze the current state of the project based on the provided files.

From PROGRESS.md, I can see that the project is implementing various search engines using Falla, a search engine scraper. A lot of the initial implementation tasks are marked as completed, but there are still several outstanding tasks, including:

1. Fix remaining implementation issues with Falla engines
2. Fix critical engine failures
3. Fix data integrity and consistency issues
4. Address empty results from various search engines
5. Improve CLI interface
6. Enforce consistent JSON output format
7. Testing and documentation
8. Final verification

From TODO.md, I can see that this is a broader plan that aligns with the PROGRESS.md tasks. There's a specific test command that's being targeted, which runs the web search query across all available engines.

I need to first understand more about the codebase structure to effectively update TODO.md and continue the implementation work. Let me explore the project structure to get more context.</think>I'll help you update the TODO.md file based on the progress shown in PROGRESS.md and then continue working on the implementation. First, let me explore the project structure to get a better understanding of the codebase.

---

_****_

<details>
            <summary>Listed current directory • **29** results</summary>
        
| Name |
|-------|
| 📄 `PROGRESS.md` |
| 📁 `.mypy_cache` |
| 📄 `TODO.md` |
| 📁 `.git` |
| 📁 `.idea` |
| 📄 `.pre-commit-config.yaml` |
| 📄 `pyproject.toml` |
| 📄 `CLEANUP.txt` |
| 📄 `twat_search.txt` |
| 📁 `tests` |
| 📁 `.venv` |
| 📄 `uv.lock` |
| 📄 `cleanup.py` |
| 📄 `.DS_Store` |
| 📁 `resources` |
| 📁 `_private` |
| 📄 `LICENSE` |
| 📁 `.ruff_cache` |
| 📄 `README.md` |
| 📄 `CHANGELOG.md` |
| 📁 `.specstory` |
| 📁 `dist` |
| 📁 `src` |
| 📁 `.benchmarks` |
| 📁 `.cursor` |
| 📄 `VERSION.txt` |
| 📁 `.pytest_cache` |
| 📁 `.github` |
| 📄 `.gitignore` |

</details>

---

_****_



Now let me check the source code structure to understand the implementation of the search engines.

---

_****_

<details>
            <summary>Listed directory src/twat_search • **6** results</summary>
        
| Name |
|-------|
| 📁 `web` |
| 📁 `__pycache__` |
| 📄 `__version__.py` |
| 📄 `__init__.py` |
| 📄 `__main__.py` |
| 📄 `.DS_Store` |

</details>

---

_****_





Let's examine the web directory, which likely contains the search engine implementations:

---

_****_

<details>
            <summary>Listed directory src/twat_search/web • **11** results</summary>
        
| Name |
|-------|
| 📁 `engines` |
| 📁 `__pycache__` |
| 📄 `config.py` |
| 📄 `engine_constants.py` |
| 📄 `__init__.py` |
| 📄 `cli.py` |
| 📄 `api.py` |
| 📄 `models.py` |
| 📄 `utils.py` |
| 📄 `exceptions.py` |
| 📄 `.DS_Store` |

</details>

---

_****_





Now, let's look at the engines directory:

---

_****_

<details>
            <summary>Listed directory src/twat_search/web/engines • **16** results</summary>
        
| Name |
|-------|
| 📁 `__pycache__` |
| 📄 `falla.py` |
| 📄 `__init__.py` |
| 📁 `lib_falla` |
| 📄 `base.py` |
| 📄 `google_scraper.py` |
| 📄 `brave.py` |
| 📄 `you.py` |
| 📄 `pplx.py` |
| 📄 `.DS_Store` |
| 📄 `serpapi.py` |
| 📄 `duckduckgo.py` |
| 📄 `tavily.py` |
| 📄 `hasdata.py` |
| 📄 `bing_scraper.py` |
| 📄 `critique.py` |

</details>

---

_****_





Let's check the tests to understand what's failing:

---

_****_

<details>
            <summary>Listed directory tests • **6** results</summary>
        
| Name |
|-------|
| 📁 `unit` |
| 📁 `web` |
| 📁 `__pycache__` |
| 📄 `conftest.py` |
| 📄 `test_twat_search.py` |
| 📁 `.benchmarks` |

</details>

---

_****_







Let's look at the failing tests mentioned in PROGRESS.md:

---

_****_

<details>
            <summary>Searched codebase "test_api.py" • **1** results</summary>
        
| File |
|------|
| `undefined` |

</details>

---

_****_







---

_****_

<details>
            <summary>Searched codebase "test_config.py" • **1** results</summary>
        
| File |
|------|
| `undefined` |

</details>

---

_****_

<details>
            <summary>Searched codebase "test_bing_scraper.py" • **1** results</summary>
        
| File |
|------|
| `undefined` |

</details>

---

_****_





Now, let's look at the Falla-related implementation since it's a major part of the progress:

---

_****_

Read file: src/twat_search/web/engines/falla.py

---

_****_



Let's check the tests that are failing to understand what needs to be fixed:

---

_****_

Read file: tests/unit/web/test_api.py

---

_****_





Let's look at the other failing tests:

---

_****_

Read file: tests/unit/web/test_config.py

---

_****_





Let's look at the last failing test:

---

_****_

Read file: tests/web/test_bing_scraper.py

---

_****_





Based on my exploration of the codebase and the progress tracking in PROGRESS.md, I'll update the TODO.md file first and then proceed with implementing the necessary fixes.

---

_****_

```diff
  
  1. Address remaining linter errors in the Falla implementation:
-    - Type annotation issues with TypeVar usage
-    - Missing parameter issues with Falla engine initialization
-    - Implement proper type annotations for engine classes
+    - Fix type annotation issues with TypeVar usage in the `falla.py` file
     - Simplify the type system to avoid TypeVar complexity
+    - Ensure proper type annotations throughout all Falla-based implementations
  
  #### 1.2.2. Resolve Search Result Issues
  
  1. Debug and fix issues with search results:
-    - Some engines currently return empty results
-    - Investigate potential issues with HTML parsing and result extraction
-    - Ensure proper connection handling and timeouts
-    - Add comprehensive error logging during search operations
- 
- #### 1.2.3. Testing and Documentation
- 
- 1. Add specific tests for Falla-based engines:
-    - Unit tests for engine initialization
-    - Mock tests for search functionality
-    - Integration tests with limited scope for actual search operations
- 
- 2. Enhance documentation:
-    - Add usage examples for Falla engines
-    - Document dependencies and requirements
-    - Include troubleshooting guidance for common issues
+    - Implement better error logging for Falla engines returning empty results
+    - Add detailed debugging for common failure patterns
+    - Test each engine individually to identify specific issues
  
  ## 2. Fix Critical Engine Failures
  
  ### 2.1. Improve Error Handling and Reporting
  
- 1. Enhance error handling in engine initialization:
-    - Add descriptive error messages with context
-    - Provide specific guidance for common failure cases
-    - Implement graceful fallbacks when engines fail to initialize
+ 1. Enhance `get_engine` function in `engines/__init__.py`:
+    - Add descriptive error messages when engines fail to initialize
+    - Improve error context for API key requirements
+    - Implement better handling of disabled engines
  
- 2. Improve error handling during search operations:
-    - Add retries with exponential backoff
-    - Implement more robust timeout handling
-    - Detect and handle rate limiting
+ 2. Implement robust error handling for search operations:
+    - Add proper retries with exponential backoff
+    - Improve timeout handling
+    - Better detection of rate limiting and captchas
  
- ### 2.2. Add Comprehensive Testing
+ ### 2.2. Fix Failing Tests
  
- 1. Develop test cases for all error conditions:
-    - Test error handling with simulated failures
-    - Test initialization failures and recovery
-    - Test rate limiting and timeout handling
+ 1. Fix failing tests identified in PROGRESS.md:
+    - Address test failures in `test_api.py`
+    - Address test failures in `test_config.py` 
+    - Address test failures in `test_bing_scraper.py`
  
  ## 3. Fix Data Integrity and Consistency Issues
  
  ### 3.1. Standardize Result Format
  
- 1. Ensure consistent result formatting across all engines:
-    - Normalize titles, URLs, and snippets
-    - Handle entity encoding consistently
-    - Ensure proper source attribution
- 
- ### 3.2. Address Quality Issues
- 
- 1. Improve result quality:
-    - Filter invalid URLs and malformed results
-    - Handle duplicate results
-    - Sort results by relevance when possible
+ 1. Ensure consistent source attribution in all search results:
+    - Fix all engines to use `self.engine_code` when creating `SearchResult` objects
+    - Correct typos in result keys (e.g., `"snippetHighlitedWords"`)
+    - Standardize field names across all engines
  
  ## 4. Address Empty Results
  
- ### 4.1. Fix Engines Returning Empty Results
+ ### 4.1. Fix Searchit-based Engines
  
- 1. Investigate and fix issues with empty results:
-    - Ensure proper query construction
-    - Verify parser logic adapts to site layout changes
-    - Add fallbacks when primary parsing method fails
+ 1. Debug and fix engines returning empty results:
+    - `bing_searchit`
+    - `google_searchit`
+    - `qwant_searchit`
+    - `yandex_searchit`
+ 
+ 2. Improve implementation:
+    - Create test script to isolate specific issues
+    - Add detailed logging for debugging
+    - Verify proper installation and dependencies
  
  ### 4.2. Implement Fallback Mechanisms
  
  1. Create fallback mechanisms for unreliable engines:
-    - Try alternative parsing strategies
-    - Fall back to alternative engines when primary engines fail
-    - Cache successful results
+    - Implement alternative parsing methods
+    - Add fallbacks when primary parsing fails
+    - Consider caching successful results for improved reliability
  
  ## 5. Improve CLI Interface
  
  ### 5.1. Enhance User Experience
  
- 1. Improve command-line interface:
-    - Better error messages with actionable guidance
-    - Progress indicators for long-running searches
-    - Configurable output formats
+ 1. Update and improve the `q` command in the CLI:
+    - Add better progress indicators
+    - Improve error messaging
+    - Test all parameter combinations
  
  ### 5.2. Add Engine Management
  
  1. Implement engine management commands:
-    - Test specific engines
-    - Enable/disable engines
-    - View detailed engine status
+    - Add commands to test specific engines
+    - Add commands to enable/disable engines
+    - Add commands to view detailed engine status
  
  ## 6. Enforce Consistent JSON Output Format
  
  ### 6.1. Standardize JSON Output
  
- 1. Create consistent JSON schema for results:
-    - Use Pydantic models for validation
-    - Document schema for API users
-    - Version the schema for compatibility
+ 1. Enforce consistent JSON format across all engines:
+    - Use `SearchResult` model consistently
+    - Remove utility functions like `_process_results` and `_display_json_results`
+    - Remove `CustomJSONEncoder` class
+    - Update all engine `search` methods to return properly formatted results
+ 
+ 2. Update API function return types:
+    - Change return type to `list[SearchResult]`
+    - Ensure proper handling of results from all engines
  
  ## 7. Testing and Documentation
  
  1. Implement comprehensive tests:
-    - Unit tests for all components
-    - Integration tests for end-to-end functionality
-    - Performance tests for concurrent searches
+    - Add unit tests for all `FallaSearchEngine` implementations
+    - Create integration tests for end-to-end functionality
+    - Add tests for error handling and recovery
  
  ### 7.2. Enhance Documentation
  
  1. Improve documentation:
-    - Add usage examples for all features
-    - Include configuration guidance
-    - Document API endpoints and parameters
-    - Add troubleshooting guides
-    - Include performance tips
+    - Document installation requirements for all engines
+    - Add troubleshooting guidelines
+    - Update CLI help text to include new engines
+    - Add appropriate disclaimers for web scraping
+ 
+ ## 8. Final Verification
+ 
+ 1. Run verification on all engines:
+    - Test with the problem case command
+    - Verify correct output format
+    - Ensure proper parameter handling
+    - Check for consistent error handling
  
```

---

_****_



Now that I've updated the TODO.md file to accurately reflect the current state of progress and pending tasks, let's fix one of the major issues. Based on the PROGRESS.md, one of the critical tasks is to address linting and type issues with the Falla implementation, particularly focusing on TypeVar usage. Let's start by examining and fixing those issues.

---

_****_

Read file: src/twat_search/web/engines/falla.py

---

_****_





Let me check if there are any linting issues reported for the Falla implementation:

---

_****_

```bash
cd $(find /Users -name "twat_search" -type d -path "*/repos/twat_search" | head -1) && ruff check --select=F --output-format=text src/twat_search/web/engines/falla.py
```

```
(twat_search) adam@Hamlet twat_search % cd $(find /Users -name "tw
at_search" -type d -path "*/repos/twat_search" | head -1) && ruff 
check --select=F --output-format=text src/twat_search/web/engines/
falla.cd $(find /Users -name "twat_search" -type d -path "*/repos/
twat_search" | head -1) && ruff check --select=F --output-format=t
ext src/twat_search/web/engines/falla.py
find: /Users/bliki/Music: Permission denied
find: /Users/bliki/Pictures: Permission denied
find: /Users/bliki/Desktop: Permission denied
find: /Users/bliki/Library: Permission denied
find: /Users/bliki/Public/Drop Box: Permission denied
find: /Users/bliki/Movies: Permission denied
find: /Users/bliki/.Trash: Operation not permitted
find: /Users/bliki/Documents: Permission denied
find: /Users/bliki/Downloads: Permission denied
find: /Users/admin/Music: Permission denied
find: /Users/admin/.local/share/karabiner/log: Permission denied
find: /Users/admin/Pictures: Permission denied
find: /Users/admin/Library: Permission denied
find: /Users/admin/Public/Drop Box: Permission denied
find: /Users/admin/Movies: Permission denied
find: /Users/admin/.Trash: Operation not permitted
find: /Users/admin/Documents: Permission denied
find: /Users/admin/Downloads: Permission denied
^C
%                                                                 
(twat_search) adam@Hamlet twat_search %
```

---

_****_





Let's try again with a more direct approach:

---

_****_

```bash
cd /Users/adam/Developer/vcs/github.twardoch/pub/twat-packages/_good/twat/plugins/repos/twat_search && ruff check --select=F,E,PYI --output-format=text src/twat_search/web/engines/falla.py
```

```
<wat_search/web/engines/falla.py
error: invalid value 'text' for '--output-format <OUTPUT_FORMAT>'
  [possible values: concise, full, json, json-lines, junit, groupe
d, github, gitlab, pylint, rdjson, azure, sarif]

For more information, try '--help'.
(twat_search) adam@Hamlet twat_search %
```

---

_****_







Let's try again with a valid format:

---

_****_

```bash
ruff check --select=F,E,PYI --output-format=github src/twat_search/web/engines/falla.py
```

```
(twat_search) adam@Hamlet twat_search % 

```

---

_****_







Let's try mypy to check for type issues:

---

_****_

```bash
mypy src/twat_search/web/engines/falla.py
```

```
(twat_search) adam@Hamlet twat_search % mypy src/twat_search/web/e
ngines/falla.py                         mypy src/twat_search/web/e
ngines/falla.py
src/twat_search/web/engines/falla.py:90: error: Type variable "twa
t_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:90: note: (Hint: Use "Generic
[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:90: note: (Hint: Use "T" in f
unction signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:103: error: A function return
ing TypeVar should receive at least one argument containing the sa
me TypeVar  [type-var]
src/twat_search/web/engines/falla.py:103: note: Consider using the
 upper bound "Falla" instead
src/twat_search/web/engines/falla.py:112: error: Cannot instantiat
e type "Type[T?]"  [misc]
src/twat_search/web/engines/falla.py:170: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:170: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:170: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:179: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:179: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:179: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:188: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:188: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:188: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:197: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:197: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:197: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:206: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:206: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:206: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:215: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:215: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:215: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:224: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:224: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:224: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:233: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:233: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:233: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:242: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:242: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:242: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:251: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:251: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:251: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
src/twat_search/web/engines/falla.py:260: error: Type variable "tw
at_search.web.engines.falla.T" is unbound  [valid-type]
src/twat_search/web/engines/falla.py:260: note: (Hint: Use "Generi
c[T]" or "Protocol[T]" base class to bind "T" inside a class)
src/twat_search/web/engines/falla.py:260: note: (Hint: Use "T" in 
function signature to bind "T" inside a function)
Found 14 errors in 1 file (checked 1 source file)
(twat_search) adam@Hamlet twat_search %
```

---

_****_









Now I understand the type issues. Let's fix the Falla implementation by updating the type annotations:

---

_****_

```diff
  
  import logging
- from typing import TypeVar, cast
+ from typing import Any, Generic, TypeVar
  
  from pydantic import HttpUrl
  
  # Type variable for Falla engine types
- T = TypeVar("T", bound=Falla)
+ FallaEngineType = TypeVar("FallaEngineType", bound=Falla)
  
  # List of available Falla engine names
          bool: True if Falla engines are available, False otherwise
      """
-     global _falla_available
+     global _falla_available, _falla_initialized
      if not _falla_initialized:
          # Check if Falla can be initialized without errors
  
  @register_engine
- class FallaSearchEngine(SearchEngine):
+ class FallaSearchEngine(SearchEngine, Generic[FallaEngineType]):
      """Base class for all Falla-based search engines."""
  
      # To be overridden by subclasses
      engine_code = "falla"
      friendly_engine_name = "Falla Search"
-     _falla_engine_class: type[T] = cast(type[T], Falla)  # Base engine class
+     _falla_engine_class: type[FallaEngineType] = Falla  # type: ignore
  
-     def __init__(self, config, **kwargs):
+     def __init__(self, config: Any, **kwargs: Any) -> None:
          """Initialize the Falla search engine."""
          super().__init__(config, **kwargs)
          _falla_initialized = True
  
-     def _create_engine_instance(self) -> T:
+     def _create_engine_instance(self) -> FallaEngineType:
          """
          Create an instance of the Falla engine.
  
          Returns:
-             Falla: Instance of the Falla engine class
+             FallaEngineType: Instance of the Falla engine class
          """
          # Create a new instance
          # Falla engine classes already initialize with their name in their own __init__ methods
          return self._falla_engine_class()
  
-     async def search(self, query: str, **_kwargs) -> list[SearchResult]:
+     async def search(self, query: str, **_kwargs: Any) -> list[SearchResult]:
          """
          Perform a search using the Falla engine.
  # Define engine classes for specific Falla engines
  @register_engine
- class GoogleFallaEngine(FallaSearchEngine):
+ class GoogleFallaEngine(FallaSearchEngine[Google]):
      """Google search implementation using Falla."""
  
      engine_code = "google_falla"
      friendly_engine_name = "Google (Falla)"
-     _falla_engine_class = cast(type[T], Google)
+     _falla_engine_class = Google
  
  
  @register_engine
- class BingFallaEngine(FallaSearchEngine):
+ class BingFallaEngine(FallaSearchEngine[Bing]):
      """Bing search implementation using Falla."""
  
      engine_code = "bing_falla"
      friendly_engine_name = "Bing (Falla)"
-     _falla_engine_class = cast(type[T], Bing)
+     _falla_engine_class = Bing
  
  
  @register_engine
- class DuckDuckGoFallaEngine(FallaSearchEngine):
+ class DuckDuckGoFallaEngine(FallaSearchEngine[DuckDuckGo]):
      """DuckDuckGo search implementation using Falla."""
  
      engine_code = "duckduckgo_falla"
      friendly_engine_name = "DuckDuckGo (Falla)"
-     _falla_engine_class = cast(type[T], DuckDuckGo)
+     _falla_engine_class = DuckDuckGo
  
  
  @register_engine
- class YahooFallaEngine(FallaSearchEngine):
+ class YahooFallaEngine(FallaSearchEngine[Yahoo]):
      """Yahoo search implementation using Falla."""
  
      engine_code = "yahoo_falla"
      friendly_engine_name = "Yahoo (Falla)"
-     _falla_engine_class = cast(type[T], Yahoo)
+     _falla_engine_class = Yahoo
  
  
  @register_engine
- class AskFallaEngine(FallaSearchEngine):
+ class AskFallaEngine(FallaSearchEngine[Ask]):
      """Ask.com search implementation using Falla."""
  
      engine_code = "ask_falla"
      friendly_engine_name = "Ask.com (Falla)"
-     _falla_engine_class = cast(type[T], Ask)
+     _falla_engine_class = Ask
  
  
  @register_engine
- class AolFallaEngine(FallaSearchEngine):
+ class AolFallaEngine(FallaSearchEngine[Aol]):
      """AOL search implementation using Falla."""
  
      engine_code = "aol_falla"
      friendly_engine_name = "AOL (Falla)"
-     _falla_engine_class = cast(type[T], Aol)
+     _falla_engine_class = Aol
  
  
  @register_engine
- class DogpileFallaEngine(FallaSearchEngine):
+ class DogpileFallaEngine(FallaSearchEngine[DogPile]):
      """Dogpile search implementation using Falla."""
  
      engine_code = "dogpile_falla"
      friendly_engine_name = "Dogpile (Falla)"
-     _falla_engine_class = cast(type[T], DogPile)
+     _falla_engine_class = DogPile
  
  
  @register_engine
- class GibiruFallaEngine(FallaSearchEngine):
+ class GibiruFallaEngine(FallaSearchEngine[Gibiru]):
      """Gibiru search implementation using Falla."""
  
      engine_code = "gibiru_falla"
      friendly_engine_name = "Gibiru (Falla)"
-     _falla_engine_class = cast(type[T], Gibiru)
+     _falla_engine_class = Gibiru
  
  
  @register_engine
- class MojeekFallaEngine(FallaSearchEngine):
+ class MojeekFallaEngine(FallaSearchEngine[Mojeek]):
      """Mojeek search implementation using Falla."""
  
      engine_code = "mojeek_falla"
      friendly_engine_name = "Mojeek (Falla)"
-     _falla_engine_class = cast(type[T], Mojeek)
+     _falla_engine_class = Mojeek
  
  
  @register_engine
- class QwantFallaEngine(FallaSearchEngine):
+ class QwantFallaEngine(FallaSearchEngine[Qwant]):
      """Qwant search implementation using Falla."""
  
      engine_code = "qwant_falla"
      friendly_engine_name = "Qwant (Falla)"
-     _falla_engine_class = cast(type[T], Qwant)
+     _falla_engine_class = Qwant
  
  
  @register_engine
- class YandexFallaEngine(FallaSearchEngine):
+ class YandexFallaEngine(FallaSearchEngine[Yandex]):
      """Yandex search implementation using Falla."""
  
      engine_code = "yandex_falla"
      friendly_engine_name = "Yandex (Falla)"
-     _falla_engine_class = cast(type[T], Yandex)
+     _falla_engine_class = Yandex
  
  
- # Helper functions for each engine to register with available_engine_functions
+ # Convenience functions for direct API access
+ # These match the function naming convention used in the module
  
- 
- async def google_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def google_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Google using the Falla engine.
+     Perform a Google search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("google_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["google_falla"],
+         **kwargs,
+     )
  
  
- async def bing_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def bing_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Bing using the Falla engine.
+     Perform a Bing search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("bing_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["bing_falla"],
+         **kwargs,
+     )
  
  
- async def duckduckgo_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def duckduckgo_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search DuckDuckGo using the Falla engine.
+     Perform a DuckDuckGo search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("duckduckgo_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["duckduckgo_falla"],
+         **kwargs,
+     )
  
  
- async def yahoo_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def yahoo_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Yahoo using the Falla engine.
+     Perform a Yahoo search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("yahoo_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["yahoo_falla"],
+         **kwargs,
+     )
  
  
- async def ask_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def ask_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Ask.com using the Falla engine.
+     Perform an Ask.com search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("ask_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["ask_falla"],
+         **kwargs,
+     )
  
  
- async def aol_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def aol_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search AOL using the Falla engine.
+     Perform an AOL search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("aol_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["aol_falla"],
+         **kwargs,
+     )
  
  
- async def dogpile_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def dogpile_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Dogpile using the Falla engine.
+     Perform a Dogpile search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("dogpile_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["dogpile_falla"],
+         **kwargs,
+     )
  
  
- async def gibiru_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def gibiru_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Gibiru using the Falla engine.
+     Perform a Gibiru search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("gibiru_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["gibiru_falla"],
+         **kwargs,
+     )
  
  
- async def mojeek_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def mojeek_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Mojeek using the Falla engine.
+     Perform a Mojeek search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("mojeek_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["mojeek_falla"],
+         **kwargs,
+     )
  
  
- async def qwant_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def qwant_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Qwant using the Falla engine.
+     Perform a Qwant search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("qwant_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["qwant_falla"],
+         **kwargs,
+     )
  
  
- async def yandex_falla(query: str, **kwargs) -> list[SearchResult]:
+ async def yandex_falla(query: str, **kwargs: Any) -> list[SearchResult]:
      """
-     Search Yandex using the Falla engine.
+     Perform a Yandex search using Falla engine.
  
      Args:
          query: Search query
-         **kwargs: Additional search parameters
+         **kwargs: Additional parameters passed to the search function
  
      Returns:
-         list[SearchResult]: List of search results
+         list[SearchResult]: Search results
      """
-     from twat_search.web.config import EngineConfig
-     from twat_search.web.engines.base import get_engine
- 
-     engine = get_engine("yandex_falla", EngineConfig(enabled=True))
-     return await engine.search(query, **kwargs)
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["yandex_falla"],
+         **kwargs,
+     )
  
```

---

_****_







Let's fix the new linter errors in the Falla implementation:

---

_****_

```diff
  
  import logging
- from typing import Any, Generic, TypeVar
+ from typing import Any, cast
  
  from pydantic import HttpUrl
  
  logger = logging.getLogger(__name__)
- 
- # Type variable for Falla engine types
- FallaEngineType = TypeVar("FallaEngineType", bound=Falla)
  
  # List of available Falla engine names
  
  @register_engine
- class FallaSearchEngine(SearchEngine, Generic[FallaEngineType]):
+ class FallaSearchEngine(SearchEngine):
      """Base class for all Falla-based search engines."""
  
      # To be overridden by subclasses
      engine_code = "falla"
      friendly_engine_name = "Falla Search"
-     _falla_engine_class: type[FallaEngineType] = Falla  # type: ignore
+     _falla_engine_class = Falla  # Base engine class
  
      def __init__(self, config: Any, **kwargs: Any) -> None:
          _falla_initialized = True
  
-     def _create_engine_instance(self) -> FallaEngineType:
+     def _create_engine_instance(self) -> Falla:
          """
          Create an instance of the Falla engine.
  
          Returns:
-             FallaEngineType: Instance of the Falla engine class
+             Falla: Instance of the Falla engine class
          """
          # Create a new instance
  # Define engine classes for specific Falla engines
  @register_engine
- class GoogleFallaEngine(FallaSearchEngine[Google]):
+ class GoogleFallaEngine(FallaSearchEngine):
      """Google search implementation using Falla."""
  
  
  @register_engine
- class BingFallaEngine(FallaSearchEngine[Bing]):
+ class BingFallaEngine(FallaSearchEngine):
      """Bing search implementation using Falla."""
  
  
  @register_engine
- class DuckDuckGoFallaEngine(FallaSearchEngine[DuckDuckGo]):
+ class DuckDuckGoFallaEngine(FallaSearchEngine):
      """DuckDuckGo search implementation using Falla."""
  
  
  @register_engine
- class YahooFallaEngine(FallaSearchEngine[Yahoo]):
+ class YahooFallaEngine(FallaSearchEngine):
      """Yahoo search implementation using Falla."""
  
  
  @register_engine
- class AskFallaEngine(FallaSearchEngine[Ask]):
+ class AskFallaEngine(FallaSearchEngine):
      """Ask.com search implementation using Falla."""
  
  
  @register_engine
- class AolFallaEngine(FallaSearchEngine[Aol]):
+ class AolFallaEngine(FallaSearchEngine):
      """AOL search implementation using Falla."""
  
  
  @register_engine
- class DogpileFallaEngine(FallaSearchEngine[DogPile]):
+ class DogpileFallaEngine(FallaSearchEngine):
      """Dogpile search implementation using Falla."""
  
  
  @register_engine
- class GibiruFallaEngine(FallaSearchEngine[Gibiru]):
+ class GibiruFallaEngine(FallaSearchEngine):
      """Gibiru search implementation using Falla."""
  
  
  @register_engine
- class MojeekFallaEngine(FallaSearchEngine[Mojeek]):
+ class MojeekFallaEngine(FallaSearchEngine):
      """Mojeek search implementation using Falla."""
  
  
  @register_engine
- class QwantFallaEngine(FallaSearchEngine[Qwant]):
+ class QwantFallaEngine(FallaSearchEngine):
      """Qwant search implementation using Falla."""
  
  
  @register_engine
- class YandexFallaEngine(FallaSearchEngine[Yandex]):
+ class YandexFallaEngine(FallaSearchEngine):
      """Yandex search implementation using Falla."""
  
  # Convenience functions for direct API access
  # These match the function naming convention used in the module
- 
  
  async def google_falla(query: str, **kwargs: Any) -> list[SearchResult]:
```

---

_****_











It seems the linter is still identifying issues related to type safety. Let's check how the SearchEngine and register_engine are defined to better understand the requirements:

---

_****_

Read file: src/twat_search/web/engines/base.py

---

_****_









Let's look at the register_engine function more closely:

---

_****_

Read file: src/twat_search/web/engines/base.py

---

_****_







Now I understand the issue better. Let's fix the Falla implementation with proper type annotations and avoid using Generic:

---

_****_

```diff
  
  import logging
- from typing import Any, cast
+ from typing import Any, ClassVar, Type
  
  from pydantic import HttpUrl
      engine_code = "falla"
      friendly_engine_name = "Falla Search"
-     _falla_engine_class = Falla  # Base engine class
+     env_api_key_names: ClassVar[list[str]] = []
+     _falla_engine_class: ClassVar[Type[Falla]] = Falla
  
      def __init__(self, config: Any, **kwargs: Any) -> None:
```

---

_****_







Let's run the linter and mypy to check the actual issues:

---

_****_

```bash
ruff check --select=F,E,PYI --output-format=github src/twat_search/web/engines/falla.py
```

```
(twat_search) adam@Hamlet twat_search % 

```

---

_****_









Let's check if mypy finds issues:

---

_****_

```bash
mypy src/twat_search/web/engines/falla.py
```

```
(twat_search) adam@Hamlet twat_search % mypy src/twat_search/web/e
ngines/falla.py                         mypy src/twat_search/web/e
ngines/falla.py
src/twat_search/web/engines/falla.py:110: error: Missing positiona
l argument "name" in call to "Falla"  [call-arg]
Found 1 error in 1 file (checked 1 source file)
(twat_search) adam@Hamlet twat_search %
```

---

_****_











Now I see the issue - the Falla class requires a 'name' parameter in its constructor. Let's check how the Falla class is implemented:

---

_****_

<details>
            <summary>Searched codebase "lib_falla/core.py" • **10** results</summary>
        
| File |
|------|
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |
| `undefined` |

</details>

---

_****_





---

_**User**_

src/twat_search/web/engines/falla.py:66:30: PLW0602 Using global for `_falla_initialized` but no assignment is done
   |
64 |         bool: True if Falla engines are available, False otherwise
65 |     """
66 |     global _falla_available, _falla_initialized
   |                              ^^^^^^^^^^^^^^^^^^ PLW0602
67 |     if not _falla_initialized:
68 |         # Check if Falla can be initialized without errors
   |

---

_**Assistant**_

<think>This linting error indicates that in the `is_falla_available()` function, we're declaring `_falla_initialized` as a global variable but never assigning to it within that function. Since we're only reading the value and not modifying it, we don't need to declare it as global in this context.

Let's also check the other linting errors we need to fix:

1. `Argument missing for parameter "name"` - The Falla class constructor requires a 'name' parameter that we're not providing.
2. `Assigning result of a function call, where the function has no return` - This suggests the `search` method of the `_falla_engine` instance doesn't return anything, but we're trying to assign its result to `raw_results`.

Let me fix these issues.</think>I'll fix the global variable issue as well as address the other linting errors in the Falla implementation.

---

_****_

Read file: src/twat_search/web/engines/lib_falla/core/falla.py

---

_****_

Read file: src/twat_search/web/engines/lib_falla/core/falla.py

---

_****_



Now I'll fix the issues in the falla.py file:

---

_****_



---

_****_



---



---

