85bf1341f3
Frontend Enhancements: - Complete React TypeScript frontend with modern UI components - Distributed workflows management interface with real-time updates - Socket.IO integration for live agent status monitoring - Agent management dashboard with cluster visualization - Project management interface with metrics and task tracking - Responsive design with proper error handling and loading states Backend Infrastructure: - Distributed coordinator for multi-agent workflow orchestration - Cluster management API with comprehensive agent operations - Enhanced database models for agents and projects - Project service for filesystem-based project discovery - Performance monitoring and metrics collection - Comprehensive API documentation and error handling Documentation: - Complete distributed development guide (README_DISTRIBUTED.md) - Comprehensive development report with architecture insights - System configuration templates and deployment guides The platform now provides a complete web interface for managing the distributed AI cluster with real-time monitoring, workflow orchestration, and agent coordination capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
150 lines
3.8 KiB
Python
150 lines
3.8 KiB
Python
# ISC License
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#
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# Copyright (c) 2018-2025, Andrea Giammarchi, @WebReflection
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#
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# Permission to use, copy, modify, and/or distribute this software for any
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# purpose with or without fee is hereby granted, provided that the above
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# copyright notice and this permission notice appear in all copies.
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#
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# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
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# REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
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# AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
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# INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
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# LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
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# OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
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# PERFORMANCE OF THIS SOFTWARE.
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import json as _json
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class _Known:
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def __init__(self):
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self.key = []
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self.value = []
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class _String:
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def __init__(self, value):
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self.value = value
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def _array_keys(value):
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keys = []
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i = 0
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for _ in value:
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keys.append(i)
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i += 1
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return keys
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def _object_keys(value):
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keys = []
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for key in value:
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keys.append(key)
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return keys
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def _is_array(value):
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return isinstance(value, (list, tuple))
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def _is_object(value):
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return isinstance(value, dict)
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def _is_string(value):
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return isinstance(value, str)
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def _index(known, input, value):
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input.append(value)
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index = str(len(input) - 1)
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known.key.append(value)
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known.value.append(index)
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return index
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def _loop(keys, input, known, output):
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for key in keys:
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value = output[key]
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if isinstance(value, _String):
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_ref(key, input[int(value.value)], input, known, output)
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return output
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def _ref(key, value, input, known, output):
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if _is_array(value) and value not in known:
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known.append(value)
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value = _loop(_array_keys(value), input, known, value)
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elif _is_object(value) and value not in known:
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known.append(value)
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value = _loop(_object_keys(value), input, known, value)
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output[key] = value
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def _relate(known, input, value):
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if _is_string(value) or _is_array(value) or _is_object(value):
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try:
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return known.value[known.key.index(value)]
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except:
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return _index(known, input, value)
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return value
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def _transform(known, input, value):
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if _is_array(value):
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output = []
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for val in value:
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output.append(_relate(known, input, val))
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return output
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if _is_object(value):
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obj = {}
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for key in value:
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obj[key] = _relate(known, input, value[key])
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return obj
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return value
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def _wrap(value):
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if _is_string(value):
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return _String(value)
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if _is_array(value):
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i = 0
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for val in value:
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value[i] = _wrap(val)
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i += 1
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elif _is_object(value):
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for key in value:
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value[key] = _wrap(value[key])
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return value
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def parse(value, *args, **kwargs):
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json = _json.loads(value, *args, **kwargs)
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wrapped = []
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for value in json:
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wrapped.append(_wrap(value))
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input = []
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for value in wrapped:
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if isinstance(value, _String):
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input.append(value.value)
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else:
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input.append(value)
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value = input[0]
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if _is_array(value):
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return _loop(_array_keys(value), input, [value], value)
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if _is_object(value):
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return _loop(_object_keys(value), input, [value], value)
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return value
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def stringify(value, *args, **kwargs):
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known = _Known()
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input = []
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output = []
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i = int(_index(known, input, value))
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while i < len(input):
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output.append(_transform(known, input, input[i]))
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i += 1
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return _json.dumps(output, *args, **kwargs)
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