feat: implement GraphQL write interface with mutations (issue #10)
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Added comprehensive GraphQL mutations for CRUD operations on markdown files and schemas. Key features: - Complete mutation schema with structured payload types - Markdown file mutations: add, update with front matter support - Schema mutations: add, update, delete with JSON validation - CLI integration with `graphql-mutate` command - Comprehensive error handling and validation - Full test coverage with 24 test cases - Updated documentation with mutation examples and API usage Resolves issue #10: Expose a GraphQL Write Interface 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -192,5 +192,421 @@ class Query(ObjectType):
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)
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# Create the schema
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schema = graphene.Schema(query=Query)
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# Mutation Types for Write Operations
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class AddMarkdownFilePayload(ObjectType):
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"""Payload for addMarkdownFile mutation."""
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markdown_file = Field(MarkdownFile, description="The created markdown file")
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success = graphene.Boolean(description="Whether the operation was successful")
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errors = List(String, description="List of validation errors")
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class UpdateMarkdownFilePayload(ObjectType):
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"""Payload for updateMarkdownFile mutation."""
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markdown_file = Field(MarkdownFile, description="The updated markdown file")
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success = graphene.Boolean(description="Whether the operation was successful")
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errors = List(String, description="List of validation errors")
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class AddSchemaPayload(ObjectType):
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"""Payload for addSchema mutation."""
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schema = Field(Schema, description="The created schema")
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success = graphene.Boolean(description="Whether the operation was successful")
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errors = List(String, description="List of validation errors")
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class UpdateSchemaPayload(ObjectType):
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"""Payload for updateSchema mutation."""
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schema = Field(Schema, description="The updated schema")
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success = graphene.Boolean(description="Whether the operation was successful")
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errors = List(String, description="List of validation errors")
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class DeleteSchemaPayload(ObjectType):
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"""Payload for deleteSchema mutation."""
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success = graphene.Boolean(description="Whether the operation was successful")
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deleted_filename = String(description="The filename of the deleted schema")
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errors = List(String, description="List of validation errors")
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class Mutation(ObjectType):
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"""Root GraphQL mutation type for write operations."""
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# Markdown file mutations
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add_markdown_file = Field(
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AddMarkdownFilePayload,
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filename=String(required=True, description="Filename for the markdown file"),
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content=String(required=True, description="Markdown content including front matter"),
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description="Add a new markdown file to the database"
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)
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update_markdown_file = Field(
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UpdateMarkdownFilePayload,
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id=Int(required=True, description="ID of the markdown file to update"),
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content=String(description="New markdown content"),
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description="Update an existing markdown file"
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)
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# Schema mutations
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add_schema = Field(
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AddSchemaPayload,
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filename=String(required=True, description="Filename for the schema"),
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schema_content=JSONString(required=True, description="JSON schema content"),
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description="Add a new JSON schema to the database"
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)
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update_schema = Field(
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UpdateSchemaPayload,
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id=Int(required=True, description="ID of the schema to update"),
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schema_content=JSONString(description="New JSON schema content"),
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description="Update an existing JSON schema"
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)
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delete_schema = Field(
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DeleteSchemaPayload,
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filename=String(required=True, description="Filename of the schema to delete"),
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description="Delete a JSON schema from the database"
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)
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def resolve_add_markdown_file(self, info, filename, content):
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"""Add a new markdown file to the database."""
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import json
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from ..database import DatabaseManager
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from .resolvers import get_default_database_path
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try:
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# Get database manager
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db_manager = DatabaseManager(get_default_database_path())
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# Store the file using the database manager
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file_id = db_manager.store_markdown_file(filename, content)
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if file_id:
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# Retrieve the created file
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import sqlite3
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conn = sqlite3.connect(get_default_database_path())
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM markdown_files WHERE id = ?", (file_id,))
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row = cursor.fetchone()
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if row:
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data = dict(zip([col[0] for col in cursor.description], row))
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# Parse front matter JSON
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if data['front_matter']:
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try:
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data['front_matter_raw'] = json.loads(data['front_matter'])
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except json.JSONDecodeError:
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data['front_matter_raw'] = {}
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else:
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data['front_matter_raw'] = {}
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# Parse datetime strings to datetime objects
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from datetime import datetime
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if data.get('created_at'):
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try:
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data['created_at'] = datetime.fromisoformat(data['created_at'])
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except (ValueError, TypeError):
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data['created_at'] = None
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conn.close()
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return AddMarkdownFilePayload(
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markdown_file=MarkdownFile(**data),
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success=True,
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errors=[]
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)
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conn.close()
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return AddMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=["Failed to store markdown file"]
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)
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except Exception as e:
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return AddMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=[str(e)]
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)
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def resolve_update_markdown_file(self, info, id, content=None):
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"""Update an existing markdown file."""
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import json
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import sqlite3
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from ..database import DatabaseManager
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from .resolvers import get_default_database_path
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try:
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if not content:
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return UpdateMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=["Content is required for update"]
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)
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db_path = get_default_database_path()
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Check if file exists and get filename
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cursor.execute("SELECT filename FROM markdown_files WHERE id = ?", (id,))
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row = cursor.fetchone()
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if not row:
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conn.close()
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return UpdateMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=[f"Markdown file with ID {id} not found"]
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)
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filename = row[0]
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# Parse front matter and content for update
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from ..frontmatter import FrontMatterParser
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front_matter_parser = FrontMatterParser()
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front_matter, markdown_content = front_matter_parser.parse(content)
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front_matter_json = json.dumps(front_matter) if front_matter else '{}'
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# Update the file directly with SQL
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cursor.execute('''
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UPDATE markdown_files
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SET content = ?, front_matter = ?
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WHERE id = ?
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''', (markdown_content, front_matter_json, id))
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conn.commit()
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# Retrieve the updated file
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cursor.execute("SELECT * FROM markdown_files WHERE id = ?", (id,))
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row = cursor.fetchone()
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if row:
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data = dict(zip([col[0] for col in cursor.description], row))
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# Parse front matter JSON
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if data['front_matter']:
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try:
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data['front_matter_raw'] = json.loads(data['front_matter'])
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except json.JSONDecodeError:
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data['front_matter_raw'] = {}
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else:
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data['front_matter_raw'] = {}
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# Parse datetime strings to datetime objects
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from datetime import datetime
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if data.get('created_at'):
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try:
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data['created_at'] = datetime.fromisoformat(data['created_at'])
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except (ValueError, TypeError):
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data['created_at'] = None
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conn.close()
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return UpdateMarkdownFilePayload(
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markdown_file=MarkdownFile(**data),
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success=True,
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errors=[]
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)
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conn.close()
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return UpdateMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=["Failed to update markdown file"]
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)
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except Exception as e:
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return UpdateMarkdownFilePayload(
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markdown_file=None,
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success=False,
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errors=[str(e)]
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)
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def resolve_add_schema(self, info, filename, schema_content):
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"""Add a new JSON schema to the database."""
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import json
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import sqlite3
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from ..database import DatabaseManager
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from .resolvers import get_default_database_path
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try:
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# Get database manager
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db_manager = DatabaseManager(get_default_database_path())
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# Convert schema_content to JSON string if it's a dict
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if isinstance(schema_content, dict):
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schema_content_str = json.dumps(schema_content)
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else:
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schema_content_str = schema_content
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# Store the schema using the database manager
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schema_id = db_manager.store_schema_file(filename, schema_content_str)
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if schema_id:
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# Retrieve the created schema
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conn = sqlite3.connect(get_default_database_path())
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM schemas WHERE id = ?", (schema_id,))
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row = cursor.fetchone()
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if row:
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data = dict(zip([col[0] for col in cursor.description], row))
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# Parse schema content JSON
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if data['schema_content']:
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try:
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data['schema_content'] = json.loads(data['schema_content'])
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except json.JSONDecodeError:
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data['schema_content'] = {}
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# Parse datetime strings to datetime objects
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from datetime import datetime
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for dt_field in ['created_at', 'updated_at']:
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if data.get(dt_field):
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try:
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data[dt_field] = datetime.fromisoformat(data[dt_field])
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except (ValueError, TypeError):
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data[dt_field] = None
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conn.close()
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return AddSchemaPayload(
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schema=Schema(**data),
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success=True,
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errors=[]
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)
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conn.close()
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return AddSchemaPayload(
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schema=None,
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success=False,
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errors=["Failed to store schema"]
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)
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except Exception as e:
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return AddSchemaPayload(
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schema=None,
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success=False,
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errors=[str(e)]
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)
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def resolve_update_schema(self, info, id, schema_content=None):
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"""Update an existing JSON schema."""
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import json
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import sqlite3
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from ..database import DatabaseManager
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from .resolvers import get_default_database_path
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try:
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if not schema_content:
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return UpdateSchemaPayload(
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schema=None,
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success=False,
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errors=["Schema content is required for update"]
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)
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db_path = get_default_database_path()
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Check if schema exists
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cursor.execute("SELECT filename FROM schemas WHERE id = ?", (id,))
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row = cursor.fetchone()
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if not row:
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conn.close()
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return UpdateSchemaPayload(
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schema=None,
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success=False,
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errors=[f"Schema with ID {id} not found"]
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)
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filename = row[0]
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conn.close()
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# Convert schema_content to JSON string if it's a dict
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if isinstance(schema_content, dict):
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schema_content_str = json.dumps(schema_content)
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else:
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schema_content_str = schema_content
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# Update using store_schema_file
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db_manager = DatabaseManager(db_path)
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schema_id = db_manager.store_schema_file(filename, schema_content_str)
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if schema_id:
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# Retrieve the updated schema
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM schemas WHERE filename = ?", (filename,))
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row = cursor.fetchone()
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if row:
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data = dict(zip([col[0] for col in cursor.description], row))
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# Parse schema content JSON
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if data['schema_content']:
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try:
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data['schema_content'] = json.loads(data['schema_content'])
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except json.JSONDecodeError:
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data['schema_content'] = {}
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# Parse datetime strings to datetime objects
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from datetime import datetime
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for dt_field in ['created_at', 'updated_at']:
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if data.get(dt_field):
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try:
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data[dt_field] = datetime.fromisoformat(data[dt_field])
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except (ValueError, TypeError):
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data[dt_field] = None
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conn.close()
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return UpdateSchemaPayload(
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schema=Schema(**data),
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success=True,
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errors=[]
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)
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conn.close()
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return UpdateSchemaPayload(
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schema=None,
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success=False,
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errors=["Failed to update schema"]
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)
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except Exception as e:
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return UpdateSchemaPayload(
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schema=None,
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success=False,
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errors=[str(e)]
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)
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def resolve_delete_schema(self, info, filename):
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"""Delete a JSON schema from the database."""
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from ..database import DatabaseManager
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from .resolvers import get_default_database_path
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try:
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# Get database manager
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db_manager = DatabaseManager(get_default_database_path())
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# Delete using the database manager
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success = db_manager.delete_schema_file(filename)
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if success:
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return DeleteSchemaPayload(
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success=True,
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deleted_filename=filename,
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errors=[]
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)
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else:
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return DeleteSchemaPayload(
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success=False,
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deleted_filename=None,
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errors=[f"Failed to delete schema: {filename}"]
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)
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except Exception as e:
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return DeleteSchemaPayload(
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success=False,
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deleted_filename=None,
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errors=[str(e)]
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)
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# Create the schema with both Query and Mutation
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schema = graphene.Schema(query=Query, mutation=Mutation)
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