docs: add Spanish README - #1
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📝 WalkthroughWalkthroughSe añade una guía completa en español para una aplicación de chat basada en Next.js, FastAPI, Ollama, LangChain y SQLite/SQLModel, con instrucciones de arquitectura, despliegue, backend, frontend y contribución. ChangesGuía de implementación en español
Estimated code review effort: 1 (Trivial) | ~4 minutes 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 5
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@README.es-ES.md`:
- Around line 78-93: Actualiza el bloque de estructura de directorios en
README.es-ES.md para especificar el identificador de lenguaje text en la valla
Markdown, sin modificar su contenido.
- Around line 18-23: Actualiza los fragmentos de los enlaces del índice en
README.es-ES.md para que coincidan con los encabezados españoles
correspondientes, reemplazando las anclas vietnamitas por identificadores como
`#introducción` y `#arquitectura-del-sistema`. Mantén intactos los títulos y el
resto del contenido.
- Line 3: Replace the empty alt text in the README image references with brief,
meaningful descriptions, including the corresponding image at the other reported
occurrence. Preserve the existing image paths and Markdown formatting.
- Around line 95-133: Update the Docker Compose documentation and the backend
URL configuration to target Ollama at http://ollama-server:11434 inside Compose
instead of localhost:11434. Use an environment-based URL selection if local and
containerized deployments require different values, and ensure the documented
/ask configuration uses the Compose service hostname.
- Around line 141-251: Reemplaza el bloque de código de FastAPI en
README.es-ES.md por el contenido real y completo de fastapi/app.py o por un
ejemplo mínimo ejecutable. Elimina los prefijos de numeración y ruta, corrige el
import db para que esté cerrado, y evita las declaraciones duplicadas de
FastAPI, llm y las rutas home/ask; conserva únicamente una inicialización válida
de la aplicación y sus endpoints.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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| # Guía de Implementación de Chat con LLM | |||
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Añade texto alternativo a las imágenes.
Estas imágenes no son accesibles para lectores de pantalla. Usa descripciones breves y significativas en lugar de .
Also applies to: 11-11
🧰 Tools
🪛 markdownlint-cli2 (0.23.1)
[warning] 3-3: Images should have alternate text (alt text)
(MD045, no-alt-text)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@README.es-ES.md` at line 3, Replace the empty alt text in the README image
references with brief, meaningful descriptions, including the corresponding
image at the other reported occurrence. Preserve the existing image paths and
Markdown formatting.
Source: Linters/SAST tools
| - [Introducción](#giới-thiệu) | ||
| - [Arquitectura del Sistema](#kiến-trúc-hệ-thống) | ||
| - [Requisitos del Sistema](#yêu-cầu-hệ-thống) | ||
| - [Instalación y Despliegue](#cài-đặt-và-triển-khai) | ||
| - [Detalle de los Componentes](#chi-tiết-các-component) | ||
| - [Documentación de Referencia](#tài-liệu-tham-khảo) |
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Corrige los fragmentos del índice.
Los enlaces apuntan a anclas vietnamitas (#giới-thiệu, etc.), pero los encabezados están en español; por tanto, el índice no navega a ninguna sección. Regenera los fragmentos usando los títulos españoles, por ejemplo #introducción y #arquitectura-del-sistema.
🧰 Tools
🪛 markdownlint-cli2 (0.23.1)
[warning] 18-18: Link fragments should be valid
(MD051, link-fragments)
[warning] 19-19: Link fragments should be valid
(MD051, link-fragments)
[warning] 20-20: Link fragments should be valid
(MD051, link-fragments)
[warning] 21-21: Link fragments should be valid
(MD051, link-fragments)
[warning] 22-22: Link fragments should be valid
(MD051, link-fragments)
[warning] 23-23: Link fragments should be valid
(MD051, link-fragments)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@README.es-ES.md` around lines 18 - 23, Actualiza los fragmentos de los
enlaces del índice en README.es-ES.md para que coincidan con los encabezados
españoles correspondientes, reemplazando las anclas vietnamitas por
identificadores como `#introducción` y `#arquitectura-del-sistema`. Mantén intactos
los títulos y el resto del contenido.
Source: Linters/SAST tools
| ``` | ||
| . | ||
| ├── docker-compose.yml | ||
| ├── fastapi/ | ||
| │ ├── Dockerfile | ||
| │ ├── app.py | ||
| │ ├── requirements.txt | ||
| │ └── ... | ||
| ├── nextjs-app/ | ||
| │ ├── Dockerfile | ||
| │ ├── package.json | ||
| │ └── ... | ||
| └── ollama/ | ||
| ├── Dockerfile | ||
| └── pull-qwen.sh | ||
| ``` |
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Especifica el lenguaje del bloque de código.
Añade un identificador como text a la valla que muestra la estructura de directorios para satisfacer Markdown lint y mejorar el resaltado.
🧰 Tools
🪛 markdownlint-cli2 (0.23.1)
[warning] 78-78: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@README.es-ES.md` around lines 78 - 93, Actualiza el bloque de estructura de
directorios en README.es-ES.md para especificar el identificador de lenguaje
text en la valla Markdown, sin modificar su contenido.
Source: Linters/SAST tools
| ### 3. Docker Compose | ||
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| ```yaml | ||
| version: '3.8' | ||
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| services: | ||
| frontend: | ||
| build: ./nextjs-app | ||
| ports: | ||
| - "3000:3000" | ||
| volumes: | ||
| - ./nextjs-app:/app | ||
| depends_on: | ||
| - backend | ||
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| backend: | ||
| build: ./fastapi | ||
| ports: | ||
| - "8000:8000" | ||
| volumes: | ||
| - ./fastapi:/app | ||
| depends_on: | ||
| - ollama-server | ||
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| ollama-server: | ||
| build: ./ollama | ||
| volumes: | ||
| - ollama_data:/root/.ollama | ||
| deploy: | ||
| resources: | ||
| reservations: | ||
| devices: | ||
| - driver: nvidia | ||
| count: 1 | ||
| capabilities: [gpu] | ||
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| volumes: | ||
| ollama_data: | ||
| ``` |
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🩺 Stability & Availability | 🟠 Major | ⚡ Quick win
Alinea la URL de Ollama con el despliegue de Docker Compose.
El Compose expone el servicio como ollama-server, pero el backend documentado termina usando base_url=url_local (localhost:11434). Dentro del contenedor backend, localhost apunta al propio backend, no al servicio Ollama, por lo que /ask no podrá conectarse. Documenta una configuración basada en http://ollama-server:11434 para Compose o usa una variable de entorno que seleccione la URL según el entorno.
Also applies to: 175-184
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@README.es-ES.md` around lines 95 - 133, Update the Docker Compose
documentation and the backend URL configuration to target Ollama at
http://ollama-server:11434 inside Compose instead of localhost:11434. Use an
environment-based URL selection if local and containerized deployments require
different values, and ensure the documented /ask configuration uses the Compose
service hostname.
| ```python | ||
| 1:109:fastapi/app.py | ||
| import requests | ||
| from fastapi import FastAPI, Response | ||
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| # Database | ||
| from db import ( | ||
| create_chat, | ||
| get_all_chats, | ||
| get_chat_by_id, | ||
| delete_chat, | ||
| DataChat, | ||
| path_db | ||
| @app.get('/ask') | ||
| def ask(prompt :str): | ||
| # Langchain | ||
| from langchain_ollama import OllamaLLM # Ollama model | ||
| from langchain_ollama.llms import BaseLLM # Lớp cơ sở cho LLM | ||
| from langchain.chains.llm import LLMChain # xâu chuỗi các LLM | ||
| from langchain.chains.sql_database.query import create_sql_query_chain # tạo chuỗi truy vấn dữ liệu llm | ||
| from langchain.prompts import PromptTemplate # tạo khuôn mẫu | ||
| from langchain_community.tools import QuerySQLDatabaseTool # công cụ truy vấn dữ liệu | ||
| from langchain.sql_database import SQLDatabase # cơ sở dữ liệu | ||
| from langchain_core.output_parsers import StrOutputParser, PydanticOutputParser # xuất kết quả ra định dạng chuỗi | ||
| from langchain_core.runnables import RunnablePassthrough # truyền dữ liệu đi xa | ||
| from operator import itemgetter # lấy giá trị từ dict | ||
| # Cache | ||
| from langchain.cache import InMemoryCache | ||
| from langchain.globals import set_llm_cache | ||
| #----------------------------------------------------------------- | ||
| llm = OllamaLLM( | ||
| # Utility | ||
| from utils import get_sql_from_answer_llm | ||
| ) | ||
| #test on docker | ||
| url_docker = "http://ollama-server:11434" | ||
| #test on local | ||
| url_local = "http://localhost:11434" | ||
| model = "qwen2.5-coder:0.5b" | ||
| app = FastAPI() | ||
| llm = OllamaLLM( | ||
| base_url=url_local, | ||
| model=model | ||
| ) | ||
| @app.get('/') | ||
| cache = InMemoryCache() | ||
| set_llm_cache(cache) | ||
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| @app.get('/ask') | ||
| template = PromptTemplate.from_template( | ||
| """ | ||
| Tôi có bảng sau đây là: {tables} | ||
| Hãy tạo câu truy vấn dữ liệu cho câu hỏi sau: | ||
| {question} | ||
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| Trả lời ngay: | ||
| """ | ||
| ) | ||
| # nếu câu hỏi không liên quan đến các bảng dữ liệu trên thì trả lời "Không liên quan đến các bảng dữ liệu trên", và nếu câu hỏi gây nguy hiểm đến dữ liệu thì trả lời "Không trả lời câu hỏi này" | ||
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| llm_chain = ( | ||
| template | | ||
| llm | | ||
| StrOutputParser() | ||
| ) | ||
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| db = SQLDatabase.from_uri(f"sqlite:///{path_db}") | ||
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| app = FastAPI() | ||
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| @app.get('/') | ||
| def home(): | ||
| return {"hello" : "World"} | ||
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| @app.get('/ask') | ||
| def ask(prompt :str): | ||
| # name of the service is ollama-server, is hostname by bridge to connect same network | ||
| # res = requests.post('http://ollama-server:11434/api/generate', json={ | ||
| # "prompt": prompt, | ||
| # "stream" : False, | ||
| # "model" : "qwen2.5-coder:0.5b" | ||
| # }) | ||
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| res = llm_chain.invoke({ | ||
| "tables": f'''{db.get_table_info(db.get_usable_table_names())}''', | ||
| "question": prompt | ||
| }) | ||
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| response = "" | ||
| if isinstance(res, str): | ||
| response = res | ||
| else: | ||
| response = res.text | ||
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| # Store chat in database | ||
| chat = create_chat(message=prompt, response=response) | ||
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| try: | ||
| data_db = db.run(get_sql_from_answer_llm(response)) | ||
| except Exception as e: | ||
| data_db = str(e) | ||
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| return { | ||
| "answer": response, | ||
| "data_db": data_db | ||
| } | ||
| ``` |
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🎯 Functional Correctness | 🟠 Major | ⚡ Quick win
Repara el ejemplo de FastAPI antes de publicarlo.
El bloque no es código Python válido: from db import ( queda abierto mientras aparecen decoradores y nuevos imports, incluye prefijos como 1:109:fastapi/app.py, y declara FastAPI y las rutas varias veces. Un lector no puede copiarlo ni usarlo como referencia. Inserta el contenido real de fastapi/app.py o muestra un ejemplo reducido, pero ejecutable.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@README.es-ES.md` around lines 141 - 251, Reemplaza el bloque de código de
FastAPI en README.es-ES.md por el contenido real y completo de fastapi/app.py o
por un ejemplo mínimo ejecutable. Elimina los prefijos de numeración y ruta,
corrige el import db para que esté cerrado, y evita las declaraciones duplicadas
de FastAPI, llm y las rutas home/ask; conserva únicamente una inicialización
válida de la aplicación y sus endpoints.
1 participant
Adds README.es-ES.md alongside the original documentation.
Summary by CodeRabbit