Package index • fscontext

All functions

add_snapshot_context(): Add contextual identifiers to snapshot observations
add_structural_groups(): Attach structural grouping heuristics to snapshot observations
as_character(): Semantic character coercion
as_recordset_df(): Coerce a contextual Record Set projection into a semantically enriched recordset_df
as_value_key(): Standardize contextual semantic mappings
classify_operational_file_type(): Classify operational file types from observed resources
compile_rulebook(): Compile a semantic refinement rulebook
construct_structural_paths(): Construct recursive contextual structural paths
context_roots(): Extract normalized contextual roots
coverage_roots(): Evaluate contextual root coverage
coverage_rules_path(): Evaluate structural path-rule coverage
create_github_commit_journal(): Create a GitHub event journal from snapshot metadata
create_journal(): Create a consolidated observational event journal
create_observation_set(): Create an observational grouping from filesystem snapshots
create_record_set(): Create a contextual Record Set projection from observational resources
derive_record_set(): Derive contextual Record Set membership
derive_reuse_metrics(): Derive operational reuse metrics from contextual resources
derive_structural_groups(): Derive structural grouping heuristics from relative paths
detect_generated_artifacts(): Detect operationally generated or low-priority artifacts
exclude_operational_noise(): Exclude operational noise from analytical workflows
find_repo_root(): Find nearest Git repository root for an observed path
fscontextdemo_snapshot_01: Example filesystem snapshot 01
fscontextdemo_snapshot_02: Second example filesystem snapshot
get_git_branch(): Get current Git branch of repository
get_git_remote(): Extract Git remote origin URL from a repository
invert_contextual_grouping(): Invert contextual grouping mappings into relational form
invert_value_key(): Invert contextual semantic mappings
is.prelabelled(): Test if a vector is prelabelled
normalise_snapshot_schema(): Normalise snapshot schema to the current version
observe_universe(): Construct a longitudinal observational universe
path_prefix(): Extract a stable path prefix at a fixed structural depth
prelabel(): Create a prelabelled vector
project_record_events(): Project filesystem timestamps into observational events
quick_signature(): Compute a fast content signature for a file
read_snapshot(): Read and combine observational filesystem snapshots
recordset_df(): Create a provenance-aware Record Set data frame
refine(): Refine semantic assertions through contextual matching
refine_by_rulebook(): Iteratively refine semantic assertions using a rulebook
save_scan(): Persist an observational snapshot to disk
scan_storage(): Observe a filesystem and construct a reproducible snapshot
semantic_stabilisation() semantic_stabilization(): Evaluate semantic stabilization readiness
snapshot_storage(): Create and persist an observational snapshot of a filesystem
snapshot_to_reconstruction_context(): Reconstruct a contextual observational Record Set from filesystem snapshots
snapshot_to_recordset_df(): Create a contextual Record Set dataset
strip_storage_prefix(): Remove storage context from contextualised filesystem paths
subset_snapshot(): Subset observational filesystem Instantiations
summarise_activity() summarize_activity(): Summarise file activity by time period and structural path
summarise_duplicates() summarize_duplicates(): Summarise repeated and divergent filesystem observations