This directory contains comprehensive documentation of the complete development lifecycle for Steam Dataset 2025, from initial API exploration through production release. Each phase represents a major development milestone with detailed session logs, production scripts, technical decisions, and validation results that demonstrate systematic application of the RAVGV methodology to data engineering challenges.
The work-logs directory serves as the technical narrative of how Steam Dataset 2025 evolved from concept to production. These logs document not just what was built, but why specific architectural decisions were made, how technical challenges were overcome, and what lessons were learned at each stage. This documentation demonstrates AI-assisted data engineering as a collaborative methodology where human expertise guides strategic decisions while AI capabilities accelerate implementation and ensure comprehensive documentation practices.
This section provides systematic navigation to all development phase directories, ensuring complete coverage of the project timeline and knowledge graph connectivity.
| Phase | Focus Area | Key Deliverables | Documentation |
|---|---|---|---|
| 01-dataset-foundations | API exploration & feasibility | Initial Steam API validation, rate limiting analysis | 01-dataset-foundations/README.md |
| 02-steam-data-sample | Sample data collection | 100-game dataset, collection infrastructure | 02-steam-data-sample/README.md |
| 03-analyze-steam-data-sample | Schema analysis | JSON structure analysis, data quality assessment | 03-analyze-steam-data-sample/README.md |
| 04-postgresql-schema-analysis | Database design | PostgreSQL schema, import scripts, initial analytics | 04-postgresql-schema-analysis/README.md |
| 05-5000-steam-game-dataset-analysis | Expanded validation | 5K game analysis, comprehensive reporting | 05-5000-steam-game-dataset-analysis/README.md |
| 06-full-data-set-import | Production collection | Full 240K+ application dataset, reviews collection | 06-full-data-set-import/README.md |
| 07-vector-embeddings | Semantic capabilities | BGE-M3 embeddings generation, pgvector integration | 07-vector-embeddings/README.md |
| 08-materialization-columns | Query optimization | Materialized platform/pricing columns | 08-materialization-columns/README.md |
| 09-pc-requirements-materialization | Requirements parsing | PC requirements extraction and validation | 09-pc-requirements-materialization/README.md |
| 10-pc-requirements-materialization | Requirements refinement | Enhanced validation, full dataset processing | 10-pc-requirements-materialization/README.md |
| 11-packaging-the-release | Dataset packaging | CSV exports, SQL dumps, schema documentation | 11-packaging-the-release/README.md |
| 12-notebook-generation | Analysis notebooks | Jupyter notebooks for platform evolution, semantic discovery | 12-notebook-generation/README.md |
Visual representation of the work-logs directory organization:
work-logs/
├── 📚 01-dataset-foundations/ # Phase 1: API exploration
│ ├── README.md # Phase overview
│ ├── phase-01-worklog-data-set-foundations.md
│ ├── test-steam-api.py
│ └── .env.example
├── 📚 02-steam-data-sample/ # Phase 2: Sample collection
│ ├── README.md
│ ├── phase-02-worklog-steam-data-sample.md
│ ├── get_steam_data_sample.py
│ └── .env.example
├── 📚 03-analyze-steam-data-sample/ # Phase 3: Schema analysis
│ ├── README.md
│ ├── phase-03-worklog-analyze-steam-data-sample.md
│ ├── analyze_steam_data_schema.py
│ ├── 100-game-steam-api-test.py
│ ├── test-steam-api-v2.py
│ ├── steam-dataset-merger.sh
│ └── schema_report_steam_data_sample_20250831_150545.md
├── 📚 04-postgresql-schema-analysis/ # Phase 4: Database design
│ ├── README.md
│ ├── phase-04-worklog-postgresql-schema-analysis.md
│ ├── 04-01-validate-steam-data-integrity.py
│ ├── 04-02-setup-postgresql-schema.py
│ ├── 04-03-import-json-to-pgsql.py
│ ├── 04-04-post-import-database-tasks.py
│ ├── 04-05-generate-initial-analytics.py
│ ├── 04-06-reviews-enrichment-script.py
│ ├── 04-07-db-reviews-enrichment-script.py
│ ├── find-large-integers.py
│ ├── merge_datasets.py
│ └── .env.example
├── 📚 05-5000-steam-game-dataset-analysis/ # Phase 5: Expanded validation
│ ├── README.md
│ ├── phase-05-worklog-steam-dataset-analysis.md
│ ├── 5k_report_generator.py
│ ├── generate_analytical_report.py
│ ├── analysis_queries.sql
│ └── .env.example
├── 📚 06-full-data-set-import/ # Phase 6: Production collection
│ ├── README.md
│ ├── phase-06-worklog-full-dataset-import.md
│ ├── collect_full_dataset.py
│ ├── collect_full_reviews.py
│ ├── setup-steam-full-database.py
│ ├── import-master-data.py
│ ├── recollect_missing_games.py
│ ├── find_missing_appids.py
│ ├── analyze_json_structure.py
│ ├── generate_analytical_report.py
│ ├── post-import-tasks-steamfull.py
│ ├── post_import_setup_steamfull.sql
│ ├── analysis_queries.sql
│ └── .env.example
├── 📚 07-vector-embeddings/ # Phase 7: Semantic capabilities
│ ├── README.md
│ ├── phase-07-worklog-vector-embeddings.md
│ ├── 07-generate-embeddings-with-monitoring.py
│ ├── generate-embeddings-with-monitoring.py
│ └── setup-gpu01.py
├── 📚 08-materialization-columns/ # Phase 8: Query optimization
│ ├── README.md
│ ├── phase-08-worklog-materialization-columns.md
│ ├── 00-data-analysis.py
│ ├── 01-add-materialized-columns.py
│ ├── 02-populate-materialized-columns.py
│ └── 03-validate-materialization.py
├── 📚 09-pc-requirements-materialization/ # Phase 9: Requirements parsing
│ ├── README.md
│ ├── phase-09-worklog-pc-requirements-materialization.md
│ ├── 01-add-requirements-columns.py
│ ├── 02-populate-requirements-columns.py
│ ├── 03-validate-materialization.py
│ └── 04-validate-materialization-full-dataset.py
├── 📚 10-pc-requirements-materialization/ # Phase 10: Requirements refinement
│ ├── 01-add-requirements-columns.py
│ ├── 02-populate-requirements-columns.py
│ ├── 03-validate-materialization.py
│ ├── 04-validate-materialization-full-dataset.py
│ ├── phase-2-pc-requirements-validation-report.txt
│ └── phase-2-pc-requirements-validation-report-FULL.txt
├── 📚 11-packaging-the-release/ # Phase 11: Dataset packaging
│ ├── 01-analyze-database-schema.py
│ ├── 02-generate-csv-package.py
│ ├── 03-generate-sql-dump.py
│ └── schema_analysis_report.md
├── 📚 12-notebook-generation/ # Phase 12: Analysis notebooks
│ ├── 01-generate-notebook-01.py
│ ├── 02-generate-notebook-02.py
│ ├── 03-analyze-notebook-02-data.py
│ ├── 04-analyze-notebook3-data.py
│ ├── 05-export-parquet-notebook-03.py
│ └── 06-analyze-parquet-notebook03.py
└── 📂 README.md # This file- 📚 01-dataset-foundations - Start here to understand initial API exploration and project feasibility assessment
- 📚 02-03: Sample & Analysis - See how sample data collection and schema analysis informed database design
- 📚 04-06: Database Development - Follow the progression from schema design to full production dataset
- 📚 07-10: Advanced Features - Understand implementation of vector embeddings and query optimization
- 📚 11-12: Release Preparation - Review dataset packaging and analysis notebook generation
This section establishes horizontal relationships within the knowledge graph, connecting work-logs to related project domains.
| Category | Relationship | Documentation |
|---|---|---|
| Documentation Standards | Defines the documentation templates and guidelines applied throughout work-logs | ../documentation-standards/README.md |
| Project Scripts | Production-ready scripts evolved from work-log prototypes | ../scripts/README.md |
| Dataset Release | Final packaged dataset produced through these development phases | ../steam-dataset-2025-v1/README.md |
| Methodologies Documentation | Technical methodologies documented and refined through these sessions | ../docs/methodologies/README.md |
For new users approaching the work-logs:
- Start Here: 01-dataset-foundations/README.md - Understand the project origins and initial API exploration
- Background Reading: Documentation Standards - Learn the RAVGV methodology and documentation patterns used throughout
- Implementation: 04-postgresql-schema-analysis/README.md - See the core database schema design and implementation decisions
- Advanced Topics: 07-vector-embeddings/README.md - Explore semantic search capabilities and advanced feature engineering
| Field | Value |
|---|---|
| Author | VintageDon - https://github.com/vintagedon |
| Created | 2025-10-06 |
| Last Updated | 2025-10-06 |
| Version | 1.0 |
Tags: work-logs, development-timeline, data-engineering, steam-api, postgresql, vector-embeddings, ai-collaboration, ravgv-methodology