matt
f22a68afa6
Core Features: - Full autonomous AI character ecosystem with multi-personality support - Advanced RAG system with personal, community, and creative memory layers - MCP integration for character self-modification and file system access - PostgreSQL database with comprehensive character relationship tracking - Redis caching and ChromaDB vector storage for semantic memory retrieval - Dynamic personality evolution based on interactions and self-reflection - Community knowledge management with tradition and norm identification - Sophisticated conversation engine with natural scheduling and topic management - Docker containerization and production-ready deployment configuration Architecture: - Multi-layer vector databases for personal, community, and creative knowledge - Character file systems with personal and shared digital spaces - Autonomous self-modification with safety validation and audit trails - Memory importance scoring with time-based decay and consolidation - Community health monitoring and cultural evolution tracking - RAG-powered conversation context and relationship optimization Characters can: - Develop authentic personalities through experience-based learning - Create and build upon original creative works and philosophical insights - Form complex relationships with memory of past interactions - Modify their own personality traits through self-reflection cycles - Contribute to and learn from shared community knowledge - Manage personal digital spaces with diaries, creative works, and reflections - Engage in collaborative projects and community decision-making System supports indefinite autonomous operation with continuous character development, community culture evolution, and creative collaboration.
105 lines
2.9 KiB
INI
105 lines
2.9 KiB
INI
# A generic, single database configuration.
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[alembic]
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# path to migration scripts
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script_location = src/database/migrations
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# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
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# Uncomment the line below if you want the files to be prepended with date and time
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# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
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# sys.path path, will be prepended to sys.path if present.
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# defaults to the current working directory.
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prepend_sys_path = .
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# timezone to use when rendering the date within the migration file
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# as well as the filename.
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# If specified, requires the python-dateutil library that can be
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# installed by adding `alembic[tz]` to the pip requirements
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# string value is passed to dateutil.tz.gettz()
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# leave blank for localtime
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# timezone =
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# max length of characters to apply to the
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# "slug" field
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# truncate_slug_length = 40
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# set to 'true' to run the environment during
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# the 'revision' command, regardless of autogenerate
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# revision_environment = false
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# set to 'true' to allow .pyc and .pyo files without
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# a source .py file to be detected as revisions in the
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# versions/ directory
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# sourceless = false
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# version number format, which requires a string that can be
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# formatted with {version} - e.g. {version}_{year}_{month}_{day}
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# Defaults to ISO 8601 standard
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# version_num_format = {version}_{year}_{month}_{day}
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# version path separator; As mentioned above, this is the character used to split
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# version_locations into a list
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# version_path_separator = :
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# set to 'true' to search source files recursively
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# in each "version_locations" directory
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# recursive_version_locations = false
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# the output encoding used when revision files
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# are written from script.py.mako
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# output_encoding = utf-8
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sqlalchemy.url = postgresql://postgres:password@localhost:5432/discord_fishbowl
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[post_write_hooks]
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# post_write_hooks defines scripts or Python functions that are run
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# on newly generated revision scripts. See the documentation for further
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# detail and examples
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# format using "black" - use the console_scripts runner, against the "black" entrypoint
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# hooks = black
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# black.type = console_scripts
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# black.entrypoint = black
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# black.options = -l 79 REVISION_SCRIPT_FILENAME
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# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
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# hooks = ruff
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# ruff.type = exec
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# ruff.executable = %(here)s/.venv/bin/ruff
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# ruff.options = --fix REVISION_SCRIPT_FILENAME
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# Logging configuration
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARN
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handlers = console
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qualname =
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[logger_sqlalchemy]
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level = WARN
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = INFO
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stderr,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(levelname)-5.5s [%(name)s] %(message)s
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datefmt = %H:%M:%S |