Identify and prioritize backlog tech debt

.env.example

@@ -0,0 +1,10 @@
+# Environment Variables for ACCESS Project
+# Copy this file to .env and fill in your actual values
+
+# Census API Key (Required for demographic analysis)
+# Get your free API key at: https://api.census.gov/data/key_signup.html
+# This key is used to download demographic data from the US Census Bureau
+CENSUS_API_KEY=your_api_key_here
+
+# Note: The pipeline can run without this key, but the analysis step will be skipped
+# If you have cached Census data, the API key is optional

BACKLOG.md

@@ -9,6 +9,9 @@
 - ✅ IMP-009: Enhanced Print Layouts (2025-11-15)
 - ✅ IMP-006: Webmap Enhancements (2025-11-09)
 - ✅ FR-003: Mobile-Friendly Webmap (2025-11-09)
+- 🔄 TD-007: Error Handling Strategy - Partial (2025-11-15)
+- 🔄 IMP-004: Improved Logging and Monitoring - Partial (2025-11-15)
+- 🔄 IMP-003: Documentation Improvements - Partial (2025-11-15)
 
 This document consolidates technical debt, feature requests, and improvements identified through comprehensive project analysis. Items are categorized by type, priority, and estimated effort.
 
@@ -98,7 +101,7 @@ Project uses OSMnx 1.3.0 (pinned), but latest stable version is 2.0+ (as of 2025
 ### TD-003: Mixed Import Patterns for H3 Module
 **Priority:** Medium
 **Effort:** Small (4-8 hours)
-**Status:** ✅ **COMPLETED** (2025-01-XX)
+**Status:** ✅ **COMPLETED** (2025-11-15)
 **Category:** Code Quality
 
 **Description:**
@@ -112,6 +115,8 @@ The `src/h3/` module used an inconsistent import pattern due to naming conflict
 5. ✅ Removed mypy exclude for h3 module (no longer needed)
 6. ✅ Updated pre-commit configuration
 
+**Note:** Some legacy notebooks still use `from h3utils import *` (referring to `src/h3utils.py`, a separate utility file). The `src/h3_utils/` package directory is properly renamed and used throughout the main codebase.
+
 **Files Modified:**
 - `src/h3_utils/` (renamed from `src/h3/`)
 - `src/run_pipeline.py` - Updated import
@@ -261,7 +266,8 @@ Modern alternatives exist:
 
 ### TD-007: No Error Handling Strategy
 **Priority:** High
-**Effort:** Medium (20-30 hours)
+**Effort:** Medium (20-30 hours) → **12-18 hours remaining**
+**Status:** 🔄 **IN PROGRESS** (2025-11-15)
 **Category:** Error Handling / Logging
 
 **Description:**
@@ -272,6 +278,15 @@ Inconsistent error handling and logging across the codebase:
 - No error recovery mechanisms
 - Failed operations may leave partial data
 
+**Progress (2025-11-15):**
+- ✅ Fixed empty except blocks in `changelog.py` (2 locations)
+- ✅ Fixed empty except blocks in `probe_data_sources.py` (2 locations)
+- ✅ Added proper error logging with context messages
+- ✅ Consistent logging patterns established (see DEVELOPMENT.md)
+- ❌ Custom exception hierarchy not yet created
+- ❌ Retry logic for network operations not yet implemented
+- ❌ Pipeline validation checkpoints not yet added
+
 **Examples of Issues:**
 - What happens if OSMnx graph download fails mid-process?
 - How are missing geometries handled in walk time calculations?
@@ -284,15 +299,13 @@ Inconsistent error handling and logging across the codebase:
 - Data corruption risks
 - Poor user experience
 
-**Solution:**
-1. Define error handling strategy and patterns
-2. Create custom exception hierarchy
-3. Add comprehensive logging with levels (DEBUG, INFO, WARNING, ERROR)
-4. Add validation checkpoints in pipeline
-5. Implement retry logic for network operations
-6. Add data validation before/after processing steps
-7. Create error recovery guide for common failures
-8. Add structured logging (JSON) for monitoring
+**Remaining Work:**
+1. ❌ Create custom exception hierarchy
+2. ❌ Add validation checkpoints in pipeline
+3. ❌ Implement retry logic for network operations
+4. ❌ Add data validation before/after processing steps
+5. ❌ Create error recovery guide for common failures
+6. ❌ Add structured logging (JSON) for monitoring
 
 **Specific Improvements:**
 - Add transaction-like behavior for data updates
@@ -783,7 +796,8 @@ Strengthen data validation throughout the pipeline.
 
 ### IMP-003: Documentation Improvements
 **Priority:** Medium
-**Effort:** Medium (20-30 hours)
+**Effort:** Medium (20-30 hours) → **16-25 hours remaining**
+**Status:** 🔄 **IN PROGRESS** (2025-11-15)
 **Category:** Documentation
 
 **Description:**
@@ -797,56 +811,69 @@ Enhance documentation for users, developers, and researchers.
 - Test README
 - Notebooks demonstrate workflows
 
+**Progress (2025-11-15):**
+- ✅ Created DEVELOPMENT.md with developer guidelines
+- ✅ Documented logging best practices with code examples
+- ✅ Documented library vs entry point patterns
+- ✅ Documented TQDM integration
+- ❌ .env.example not yet created (mentioned but file doesn't exist)
+- ❌ No API documentation yet
+- ❌ No auto-generated docs yet
+- ❌ Contributing guidelines not yet created
+
 **Improvements Needed:**
 
 1. **API Documentation:**
-   - Auto-generated API docs (Sphinx/MkDocs)
-   - Module documentation
-   - Function signatures and examples
-   - Type hints throughout
+   - ❌ Auto-generated API docs (Sphinx/MkDocs)
+   - ❌ Module documentation
+   - ❌ Function signatures and examples
+   - ❌ Type hints throughout
 
 2. **User Guides:**
-   - Step-by-step tutorials
-   - Common workflows
-   - Troubleshooting guide (expand existing)
-   - FAQ section
+   - ❌ Step-by-step tutorials
+   - ❌ Common workflows
+   - ❌ Troubleshooting guide (expand existing)
+   - ❌ FAQ section
 
 3. **Developer Guides:**
-   - Contributing guidelines
-   - Code style guide
-   - Testing guide
-   - Release process
+   - ✅ Development best practices (DEVELOPMENT.md)
+   - ❌ Contributing guidelines (CONTRIBUTING.md)
+   - ❌ Code style guide
+   - ❌ Testing guide
+   - ❌ Release process
 
 4. **Research Documentation:**
-   - Methodology documentation
-   - Algorithm descriptions
-   - Validation approach
-   - Reproducibility guide
+   - ❌ Methodology documentation
+   - ❌ Algorithm descriptions
+   - ❌ Validation approach
+   - ❌ Reproducibility guide
 
 5. **Architecture Documentation:**
-   - System design
-   - Data flow diagrams (expand existing Mermaid)
-   - Module dependencies
-   - Extension points
+   - ❌ System design
+   - ❌ Data flow diagrams (expand existing Mermaid)
+   - ❌ Module dependencies
+   - ❌ Extension points
 
 **Tools:**
 - **Sphinx**: Python standard, autodoc
 - **MkDocs**: Modern, Markdown-based
 - **Jupyter Book**: Integrate notebooks
 - **Mermaid**: Diagrams (already used)
 
-**Implementation:**
+**Remaining Work:**
 1. Choose documentation tool
 2. Set up documentation structure
 3. Add docstrings throughout code
-4. Write guides and tutorials
-5. Deploy documentation site
+4. Write CONTRIBUTING.md
+5. Write guides and tutorials
+6. Deploy documentation site
 
 ---
 
 ### IMP-004: Improved Logging and Monitoring
 **Priority:** Medium
-**Effort:** Medium (16-24 hours)
+**Effort:** Medium (16-24 hours) → **8-12 hours remaining**
+**Status:** 🔄 **IN PROGRESS** (2025-11-15)
 **Category:** Observability
 
 **Description:**
@@ -858,15 +885,29 @@ Enhance logging for better debugging and monitoring.
 - No structured logging
 - No centralized log aggregation
 
+**Progress (2025-11-15):**
+- ✅ Replaced print() statements with proper logging in library modules
+- ⚠️ CLI scripts (`probe_data_sources.py`, `changelog.py`) still use print() for user-facing output (acceptable for CLI)
+- ✅ Established consistent logging patterns:
+  - Entry scripts use `logging.basicConfig()` with handlers
+  - Library modules use `logger = logging.getLogger(__name__)`
+- ✅ Created DEVELOPMENT.md with logging guidelines and examples
+- ✅ Documented integration with TQDM progress bars
+- ✅ Proper log levels used (DEBUG, INFO, WARNING, ERROR)
+- ❌ No structured logging (JSON) yet
+- ❌ No centralized log aggregation yet
+- ❌ No monitoring dashboards yet
+
 **Improvements:**
 
 1. **Structured Logging:**
-   - JSON format for machine parsing
-   - Consistent log levels
-   - Context information (user, region, operation)
-   - Request IDs for tracing
+   - ❌ JSON format for machine parsing
+   - ✅ Consistent log levels
+   - ❌ Context information (user, region, operation)
+   - ❌ Request IDs for tracing
 
 2. **Log Levels:**
+   - ✅ Properly applied throughout codebase
    ```python
    DEBUG: Detailed diagnostic info
    INFO: General informational messages
@@ -876,29 +917,28 @@ Enhance logging for better debugging and monitoring.
    ```
 
 3. **Performance Logging:**
-   - Operation timing
-   - Resource usage
-   - Progress tracking
-   - Bottleneck identification
+   - ❌ Operation timing
+   - ❌ Resource usage
+   - ❌ Progress tracking
+   - ❌ Bottleneck identification
 
 4. **Log Management:**
-   - Log rotation
-   - Compression
-   - Retention policy
-   - Search and analysis
+   - ❌ Log rotation
+   - ❌ Compression
+   - ❌ Retention policy
+   - ❌ Search and analysis
 
 5. **Monitoring:**
-   - Metrics collection (Prometheus)
-   - Dashboards (Grafana)
-   - Alerting
-   - Health checks
+   - ❌ Metrics collection (Prometheus)
+   - ❌ Dashboards (Grafana)
+   - ❌ Alerting
+   - ❌ Health checks
 
-**Implementation:**
-1. Add `structlog` library
-2. Create logging configuration
-3. Update all modules to use structured logging
-4. Set up log aggregation
-5. Create monitoring dashboards
+**Remaining Work:**
+1. Add `structlog` library for structured logging
+2. Add performance/timing logging
+3. Set up log rotation and management
+4. Create monitoring dashboards (optional)
 
 ---
 
@@ -1452,13 +1492,38 @@ For questions or to contribute:
 
 ---
 
-**Document Version:** 1.3
-**Last Updated:** 2025-11-09
-**Previous Version:** 1.2 (2025-11-09)
+**Document Version:** 1.4.1
+**Last Updated:** 2025-11-15
+**Previous Version:** 1.4 (2025-11-15)
 **Analysis Method:** Comprehensive codebase review, dependency analysis, and best practices research
 
 **Revision Notes:**
 
+**v1.4.1 (2025-11-15):**
+- Accuracy verification: Reviewed all status indicators against actual codebase
+- Corrected IMP-003: .env.example not yet created (was incorrectly marked as completed)
+- Clarified IMP-004: Print statements in CLI scripts are acceptable for user-facing output
+- Updated TD-003: Fixed completion date placeholder and added note about legacy notebooks
+- Verified TD-009, IMP-005, IMP-006, FR-003, IMP-009 completion status (all accurate)
+
+**v1.4 (2025-11-15):**
+- Updated TD-007 (Error Handling Strategy) - marked as IN PROGRESS
+  - Fixed 4 empty except blocks with proper error logging
+  - Documented progress and remaining work
+- Updated IMP-004 (Improved Logging and Monitoring) - marked as IN PROGRESS
+  - Replaced print() statements with proper logging in library modules
+  - CLI scripts still use print() for user-facing output (acceptable)
+  - Established consistent logging patterns
+  - Created DEVELOPMENT.md with logging guidelines
+- Updated IMP-003 (Documentation Improvements) - marked as IN PROGRESS
+  - Created DEVELOPMENT.md with developer best practices
+  - Corrected: .env.example not yet created (was incorrectly marked as completed)
+- Updated TD-003 (H3 Module Import Pattern) - corrected completion date from placeholder
+  - Added note about legacy notebooks using separate h3utils.py file
+- Updated effort estimates for in-progress items
+- Added recent completions section
+- Verified accuracy of all status indicators against codebase
+
 **v1.3 (2025-11-09):**
 - Added TD-011: H3 Not Used as Primary Geographic Unit (technical debt)
 - Added FR-004: Complete H3 Implementation as Primary Geographic Unit (feature request)