← 返回首页
docs: Add blog post on experimental feature view versioning support (… · yuan1j/feast@81f169a · GitHub
Skip to content

Navigation Menu

Toggle navigation
Sign in
Appearance settings
Search or jump to...

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted
Cancel Submit feedback

Saved searches

Use saved searches to filter your results more quickly

Cancel Create saved search
Appearance settings
Resetting focus

Commit 81f169a

Browse files
2 peopleauthored and
yuan1j
committed
docs: Add blog post on experimental feature view versioning support (feast-dev#6204)
* docs: add blog post on experimental feature view versioning support Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/73d0759c-d919-4a07-92ca-7069692b1346 Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * docs: move feature versioning blog post to infra/website/docs/blog Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/24228f94-b79f-4524-947a-8f60ad66a4de Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * docs: add AGENTS.md and update SKILL.md with blog post placement convention Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/7e15980c-1caa-4596-acef-3a743989658a Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * docs: sync AGENTS.md with CLAUDE.md content, have CLAUDE.md reference AGENTS.md Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/9d605bcf-3852-43a5-8f05-6ddbae924640 Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * docs: expand blog post with production use cases, PIT correctness rationale, and client contract details Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/4c985134-3d4e-4575-bb88-a24113fe07ce Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * Add files via upload * docs: add hero image to feature-view-versioning blog post Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/dc0064ff-6bb7-42a6-b537-01ee73ee1d6b Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * docs: add link to original issue feast-dev#2728 in feature-view-versioning blog post Agent-Logs-Url: https://github.com/feast-dev/feast/sessions/2064238b-c5be-49b7-813e-6dae7dac4547 Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> * Apply suggestion from @franciscojavierarceo * Apply suggestion from @franciscojavierarceo --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: franciscojavierarceo <4163062+franciscojavierarceo@users.noreply.github.com> Co-authored-by: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: Francisco Javier Arceo <arceofrancisco@gmail.com> Signed-off-by: yuanjun220 <1069645408@qq.com>
1 parent df16cbd commit 81f169a

5 files changed

Lines changed: 404 additions & 141 deletions

File tree

‎AGENTS.md‎

Lines changed: 153 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,153 @@
1+
# Feast - Agent Instructions
2+
3+
This file provides instructions for AI coding agents (GitHub Copilot, Claude Code, OpenAI Codex, etc.) working in this repository.
4+
5+
## Project Overview
6+
7+
Feast is an open source feature store for machine learning that helps ML platform teams manage features consistently for training and serving.
8+
9+
Feast (Feature Store) is a Python-based project that provides:
10+
- **Offline Store**: Process historical data for batch scoring or model training
11+
- **Online Store**: Power real-time predictions with low-latency features
12+
- **Feature Server**: Serve pre-computed features online
13+
- **Point-in-time correctness**: Prevent data leakage during model training
14+
- **Data infrastructure abstraction**: Decouple ML from data infrastructure
15+
16+
## Development Commands
17+
18+
### Setup
19+
```bash
20+
# Install development dependencies
21+
make install-python-dependencies-dev
22+
23+
# Install minimal dependencies
24+
make install-python-dependencies-minimal
25+
```
26+
27+
### Code Quality
28+
```bash
29+
# Format Python code
30+
make format-python
31+
32+
# Lint Python code
33+
make lint-python
34+
35+
# Type check
36+
cd sdk/python && python -m mypy feast
37+
```
38+
39+
### Testing
40+
```bash
41+
# Run unit tests
42+
make test-python-unit
43+
44+
# Run integration tests (local)
45+
make test-python-integration-local
46+
47+
# Run integration tests (CI)
48+
make test-python-integration
49+
50+
# Run all Python tests
51+
make test-python-universal
52+
```
53+
54+
### Protobuf Compilation
55+
```bash
56+
# Compile Python protobuf files
57+
make compile-protos-python
58+
59+
# Compile all protos
60+
make protos
61+
```
62+
63+
### Go Development
64+
```bash
65+
# Build Go code
66+
make build-go
67+
68+
# Test Go code
69+
make test-go
70+
71+
# Format Go code
72+
make format-go
73+
74+
# Lint Go code
75+
make lint-go
76+
```
77+
78+
### Docker
79+
```bash
80+
# Build all Docker images
81+
make build-docker
82+
83+
# Build feature server Docker image
84+
make build-feature-server-docker
85+
```
86+
87+
### Documentation
88+
```bash
89+
# Build Sphinx documentation
90+
make build-sphinx
91+
92+
# Build templates
93+
make build-templates
94+
95+
# Build Helm docs
96+
make build-helm-docs
97+
```
98+
99+
## Project Structure
100+
101+
```
102+
feast/
103+
├── sdk/python/ # Python SDK and core implementation
104+
├── go/ # Go implementation
105+
├── ui/ # Web UI
106+
├── docs/ # Documentation
107+
├── examples/ # Example projects
108+
├── infra/ # Infrastructure and deployment
109+
│ ├── charts/ # Helm charts
110+
│ └── feast-operator/ # Kubernetes operator
111+
└── protos/ # Protocol buffer definitions
112+
```
113+
114+
## Key Technologies
115+
116+
- **Languages**: Python (primary), Go
117+
- **Dependencies**: pandas, pyarrow, SQLAlchemy, FastAPI, protobuf
118+
- **Data Sources**: BigQuery, Snowflake, Redshift, Parquet, Postgres, Spark
119+
- **Online Stores**: Redis, DynamoDB, Bigtable, Snowflake, SQLite, Postgres
120+
- **Offline Stores**: BigQuery, Snowflake, Redshift, Spark, Dask, DuckDB
121+
- **Cloud Providers**: AWS, GCP, Azure
122+
123+
## Common Development Tasks
124+
125+
### Running Tests
126+
The project uses pytest for Python testing with extensive integration test suites for different data sources and stores.
127+
128+
### Code Style
129+
- Use type hints on all Python function signatures
130+
- Follow existing patterns in the module you are modifying
131+
- PR titles must follow semantic conventions: `feat:`, `fix:`, `ci:`, `chore:`, `docs:`
132+
- Sign off commits with `git commit -s` (DCO requirement)
133+
- Uses `ruff` for Python linting and formatting
134+
- Go uses standard `gofmt`
135+
136+
### Protobuf Development
137+
Protocol buffers are used for data serialization and gRPC APIs. Recompile protos after making changes to `.proto` files.
138+
139+
### Multi-language Support
140+
Feast supports Python and Go SDKs. Changes to core functionality may require updates across both languages.
141+
142+
## Documentation and Blog Posts
143+
144+
- **Blog posts must be placed in `/infra/website/docs/blog/`** — do NOT create blog posts under `docs/blog/` or any other location.
145+
- Blog post files must include YAML frontmatter with `title`, `description`, `date`, and `authors` fields, following the format of existing posts in that directory.
146+
- All other reference documentation goes under `docs/`.
147+
148+
## Contributing
149+
150+
1. Follow the [contribution guide](docs/project/contributing.md)
151+
2. Set up your development environment
152+
3. Run relevant tests before submitting PRs
153+
4. Ensure code passes linting and type checking

‎CLAUDE.md‎

Lines changed: 1 addition & 141 deletions
Original file line numberDiff line numberDiff line change
@@ -1,141 +1 @@
1-
# Feast - Feature Store for Machine Learning
2-
3-
Feast is an open source feature store for machine learning that helps ML platform teams manage features consistently for training and serving.
4-
5-
## Project Overview
6-
7-
Feast (Feature Store) is a Python-based project that provides:
8-
- **Offline Store**: Process historical data for batch scoring or model training
9-
- **Online Store**: Power real-time predictions with low-latency features
10-
- **Feature Server**: Serve pre-computed features online
11-
- **Point-in-time correctness**: Prevent data leakage during model training
12-
- **Data infrastructure abstraction**: Decouple ML from data infrastructure
13-
14-
## Development Commands
15-
16-
### Setup
17-
```bash
18-
# Install development dependencies
19-
make install-python-dependencies-dev
20-
21-
# Install minimal dependencies
22-
make install-python-dependencies-minimal
23-
```
24-
25-
### Code Quality
26-
```bash
27-
# Format Python code
28-
make format-python
29-
30-
# Lint Python code
31-
make lint-python
32-
33-
# Type check
34-
cd sdk/python && python -m mypy feast
35-
```
36-
37-
### Testing
38-
```bash
39-
# Run unit tests
40-
make test-python-unit
41-
42-
# Run integration tests (local)
43-
make test-python-integration-local
44-
45-
# Run integration tests (CI)
46-
make test-python-integration
47-
48-
# Run all Python tests
49-
make test-python-universal
50-
```
51-
52-
### Protobuf Compilation
53-
```bash
54-
# Compile Python protobuf files
55-
make compile-protos-python
56-
57-
# Compile all protos
58-
make protos
59-
```
60-
61-
### Go Development
62-
```bash
63-
# Build Go code
64-
make build-go
65-
66-
# Test Go code
67-
make test-go
68-
69-
# Format Go code
70-
make format-go
71-
72-
# Lint Go code
73-
make lint-go
74-
```
75-
76-
### Docker
77-
```bash
78-
# Build all Docker images
79-
make build-docker
80-
81-
# Build feature server Docker image
82-
make build-feature-server-docker
83-
```
84-
85-
### Documentation
86-
```bash
87-
# Build Sphinx documentation
88-
make build-sphinx
89-
90-
# Build templates
91-
make build-templates
92-
93-
# Build Helm docs
94-
make build-helm-docs
95-
```
96-
97-
## Project Structure
98-
99-
```
100-
feast/
101-
├── sdk/python/ # Python SDK and core implementation
102-
├── go/ # Go implementation
103-
├── ui/ # Web UI
104-
├── docs/ # Documentation
105-
├── examples/ # Example projects
106-
├── infra/ # Infrastructure and deployment
107-
│ ├── charts/ # Helm charts
108-
│ └── feast-operator/ # Kubernetes operator
109-
└── protos/ # Protocol buffer definitions
110-
```
111-
112-
## Key Technologies
113-
114-
- **Languages**: Python (primary), Go
115-
- **Dependencies**: pandas, pyarrow, SQLAlchemy, FastAPI, protobuf
116-
- **Data Sources**: BigQuery, Snowflake, Redshift, Parquet, Postgres, Spark
117-
- **Online Stores**: Redis, DynamoDB, Bigtable, Snowflake, SQLite, Postgres
118-
- **Offline Stores**: BigQuery, Snowflake, Redshift, Spark, Dask, DuckDB
119-
- **Cloud Providers**: AWS, GCP, Azure
120-
121-
## Common Development Tasks
122-
123-
### Running Tests
124-
The project uses pytest for Python testing with extensive integration test suites for different data sources and stores.
125-
126-
### Code Style
127-
- Uses `ruff` for Python linting and formatting
128-
- Go uses standard `gofmt`
129-
130-
### Protobuf Development
131-
Protocol buffers are used for data serialization and gRPC APIs. Recompile protos after making changes to `.proto` files.
132-
133-
### Multi-language Support
134-
Feast supports Python and Go SDKs. Changes to core functionality may require updates across both languages.
135-
136-
## Contributing
137-
138-
1. Follow the [contribution guide](docs/project/contributing.md)
139-
2. Set up your development environment
140-
3. Run relevant tests before submitting PRs
141-
4. Ensure code passes linting and type checking
1+
@AGENTS.md

0 commit comments

Comments
 (0)

Footer

© 2026 GitHub, Inc.