fluid-network-slover（流体网络解决方案）

Fluid Network Solver

Overview

Parse a TOML fluid network, apply named scenario overrides, solve hydraulic steady-state variables, and produce reliability analysis outputs. Use the scripts in this skill for deterministic execution instead of rewriting solver logic each time.

Workflow

1. Read schema details from references/toml_schema.md when defining or checking input.
2. Prepare a TOML file containing system, nodes, pipes, and scenarios.
3. Run scripts/run_fluid_skill.py with one scenario or all scenarios.
4. Return JSON output, markdown report, or a readable console summary.

Parameter Entry

Use this command from the skill root:

python scripts/run_fluid_skill.py --toml <input.toml> [--scenario <name> | --all-scenarios] [--report-out <report.md>] [--json-out <result.json>] [--print-text]

Supported parameters:

• --toml: required input network file.
• --scenario: single scenario name (default base).
• --all-scenarios: analyze base plus all named scenarios.
• --report-template: optional template path, default assets/report_template.md.
• --report-out: optional markdown report output path.
• --json-out: optional JSON result output path.
• --print-text: print readable scenario analysis to stdout.
• --generate-template: optionally write a starter TOML template and exit.

Outputs

Generate these outputs based on user request:

• Plain text analysis: convergence, pressures, flows, and load pass/fail status.
• JSON payload: machine-readable scenario results.
• Markdown report: rendered from assets/report_template.md.

Report Template

Use assets/report_template.md placeholders:

• {{generated_at_utc}}
• {{input_file}}
• {{scenario_mode}}
• {{scenario_count}}
• {{summary_table}}
• {{detail_sections}}

Files

• scripts/fluid_solver_core.py: compatibility shim that re-exports the maintained root implementation.
• scripts/run_fluid_skill.py: CLI entry for parameterized execution and report generation.
• references/toml_schema.md: authoritative schema and sample.
• assets/report_template.md: default report skeleton.
• assets/sample_network.toml: runnable demo network.
• requirements.txt: runtime dependencies for packaging or local execution.

Execution Examples

Run one scenario:

python scripts/run_fluid_skill.py --toml assets/sample_network.toml --scenario Normal_Operation --print-text

Run all scenarios and export report + JSON:

python scripts/run_fluid_skill.py --toml assets/sample_network.toml --all-scenarios --report-out outputs/report.md --json-out outputs/result.json

Generate a template:

python scripts/run_fluid_skill.py --generate-template outputs/template.toml