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19 KiB
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<article id="content">
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<header>
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<h1 class="title">Module <code>lang_main.pipelines.predefined</code></h1>
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</header>
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<section id="section-intro">
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-functions">Functions</h2>
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<dl>
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<dt id="lang_main.pipelines.predefined.build_base_target_feature_pipe"><code class="name flex">
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<span>def <span class="ident">build_base_target_feature_pipe</span></span>(<span>) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def build_base_target_feature_pipe() -> Pipeline:
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pipe_target_feat = Pipeline(name='Target_Feature', working_dir=SAVE_PATH_FOLDER)
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pipe_target_feat.add(
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load_raw_data,
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{
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'date_cols': DATE_COLS,
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},
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)
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pipe_target_feat.add(remove_duplicates)
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pipe_target_feat.add(remove_NA, save_result=True)
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pipe_target_feat.add(
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entry_wise_cleansing,
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{
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'target_features': (TARGET_FEATURE,),
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'cleansing_func': clean_string_slim,
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},
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save_result=True,
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filename=EntryPoints.TIMELINE,
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)
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pipe_target_feat.add(
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analyse_feature,
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{
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'target_feature': TARGET_FEATURE,
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},
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save_result=True,
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)
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return pipe_target_feat</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="lang_main.pipelines.predefined.build_merge_duplicates_pipe"><code class="name flex">
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<span>def <span class="ident">build_merge_duplicates_pipe</span></span>(<span>) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def build_merge_duplicates_pipe() -> Pipeline:
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pipe_merge = Pipeline(name='Merge_Duplicates', working_dir=SAVE_PATH_FOLDER)
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pipe_merge.add(
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numeric_pre_filter_feature,
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{
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'feature': 'len',
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'bound_lower': THRESHOLD_AMOUNT_CHARACTERS,
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'bound_upper': None,
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},
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)
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pipe_merge.add(
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merge_similarity_duplicates,
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{
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'model': STFR_MODEL,
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'cos_sim_threshold': THRESHOLD_SIMILARITY,
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},
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save_result=True,
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filename=EntryPoints.TOKEN_ANALYSIS,
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)
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return pipe_merge</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="lang_main.pipelines.predefined.build_timeline_pipe"><code class="name flex">
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<span>def <span class="ident">build_timeline_pipe</span></span>(<span>) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def build_timeline_pipe() -> Pipeline:
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pipe_timeline = Pipeline(name='Timeline_Analysis', working_dir=SAVE_PATH_FOLDER)
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pipe_timeline.add(
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cleanup_descriptions,
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{
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'properties': ['ErledigungsBeschreibung'],
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},
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)
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pipe_timeline.add(
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calc_delta_to_repair,
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{
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'date_feature_start': 'ErstellungsDatum',
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'date_feature_end': 'ErledigungsDatum',
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'name_delta_feature': NAME_DELTA_FEAT_TO_REPAIR,
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'convert_to_days': True,
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},
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save_result=True,
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filename=EntryPoints.TIMELINE_POST,
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)
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pipe_timeline.add(
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remove_non_relevant_obj_ids,
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{
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'thresh_unique_feat_per_id': THRESHOLD_UNIQUE_TEXTS,
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'feature_uniqueness': UNIQUE_CRITERION_FEATURE,
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'feature_obj_id': FEATURE_NAME_OBJ_ID,
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},
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save_result=True,
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)
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pipe_timeline.add(
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generate_model_input,
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{
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'target_feature_name': 'nlp_model_input',
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'model_input_features': MODEL_INPUT_FEATURES,
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},
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)
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pipe_timeline.add(
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filter_activities_per_obj_id,
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{
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'activity_feature': ACTIVITY_FEATURE,
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'relevant_activity_types': ACTIVITY_TYPES,
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'feature_obj_id': FEATURE_NAME_OBJ_ID,
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'threshold_num_activities': THRESHOLD_NUM_ACTIVITIES,
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},
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)
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pipe_timeline.add(
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get_timeline_candidates,
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{
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'model': STFR_MODEL,
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'cos_sim_threshold': THRESHOLD_TIMELINE_SIMILARITY,
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'feature_obj_id': FEATURE_NAME_OBJ_ID,
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'feature_obj_text': FEATURE_NAME_OBJ_TEXT,
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'model_input_feature': 'nlp_model_input',
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},
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save_result=True,
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filename=EntryPoints.TIMELINE_CANDS,
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)
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return pipe_timeline</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="lang_main.pipelines.predefined.build_tk_graph_pipe"><code class="name flex">
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<span>def <span class="ident">build_tk_graph_pipe</span></span>(<span>) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
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</code></dt>
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<dd>
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<details class="source">
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||
<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def build_tk_graph_pipe() -> Pipeline:
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pipe_token_analysis = Pipeline(name='Token_Analysis', working_dir=SAVE_PATH_FOLDER)
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pipe_token_analysis.add(
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build_token_graph,
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{
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'model': SPACY_MODEL,
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'target_feature': 'entry',
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'weights_feature': 'num_occur',
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'batch_idx_feature': 'batched_idxs',
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'build_map': False,
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'batch_size_model': 50,
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},
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save_result=True,
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filename=EntryPoints.TK_GRAPH_POST,
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)
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return pipe_token_analysis</code></pre>
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</details>
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<div class="desc"></div>
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||
</dd>
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<dt id="lang_main.pipelines.predefined.build_tk_graph_post_pipe"><code class="name flex">
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<span>def <span class="ident">build_tk_graph_post_pipe</span></span>(<span>) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
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</code></dt>
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||
<dd>
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||
<details class="source">
|
||
<summary>
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||
<span>Expand source code</span>
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</summary>
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<pre><code class="python">def build_tk_graph_post_pipe() -> Pipeline:
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pipe_graph_postprocessing = Pipeline(
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name='Graph_Postprocessing', working_dir=SAVE_PATH_FOLDER
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)
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pipe_graph_postprocessing.add(
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graphs.filter_graph_by_number_edges,
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{
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'limit': MAX_EDGE_NUMBER,
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'property': 'weight',
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},
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)
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pipe_graph_postprocessing.add(
|
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graphs.filter_graph_by_node_degree,
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{
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'bound_lower': 1,
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'bound_upper': None,
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},
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)
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pipe_graph_postprocessing.add(
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graphs.static_graph_analysis,
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save_result=True,
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filename=EntryPoints.TK_GRAPH_ANALYSIS,
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)
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||
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return pipe_graph_postprocessing</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="lang_main.pipelines.predefined.build_tk_graph_render_pipe"><code class="name flex">
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||
<span>def <span class="ident">build_tk_graph_render_pipe</span></span>(<span>with_subgraphs: bool,<br>export_folder: pathlib.Path = WindowsPath('A:/Arbeitsaufgaben/lang-data/out'),<br>base_network_name: str = 'token_graph') ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def build_tk_graph_render_pipe(
|
||
with_subgraphs: bool,
|
||
export_folder: Path = SAVE_PATH_FOLDER,
|
||
base_network_name: str = CYTO_BASE_NETWORK_NAME,
|
||
) -> Pipeline:
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||
# optional dependency: late import
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||
# raises exception if necessary modules are not found
|
||
try:
|
||
from lang_main.render import cytoscape as cyto
|
||
except ImportError:
|
||
raise ImportError(
|
||
(
|
||
'Dependencies for Cytoscape interaction not found.'
|
||
'Install package with optional dependencies.'
|
||
)
|
||
)
|
||
|
||
pipe_graph_rendering = Pipeline(
|
||
name='Graph_Static-Rendering',
|
||
working_dir=SAVE_PATH_FOLDER,
|
||
)
|
||
pipe_graph_rendering.add(
|
||
cyto.import_to_cytoscape,
|
||
{
|
||
'network_name': base_network_name,
|
||
},
|
||
)
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||
pipe_graph_rendering.add(
|
||
cyto.layout_network,
|
||
{
|
||
'network_name': base_network_name,
|
||
},
|
||
)
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||
pipe_graph_rendering.add(
|
||
cyto.apply_style_to_network,
|
||
{
|
||
'network_name': base_network_name,
|
||
},
|
||
)
|
||
pipe_graph_rendering.add(
|
||
cyto.export_network_to_image,
|
||
{
|
||
'filename': base_network_name,
|
||
'target_folder': export_folder,
|
||
'network_name': base_network_name,
|
||
},
|
||
)
|
||
|
||
if with_subgraphs:
|
||
pipe_graph_rendering.add(
|
||
cyto.get_subgraph_node_selection,
|
||
{
|
||
'network_name': base_network_name,
|
||
},
|
||
)
|
||
pipe_graph_rendering.add(
|
||
cyto.build_subnetworks,
|
||
{
|
||
'export_image': True,
|
||
'target_folder': export_folder,
|
||
'network_name': base_network_name,
|
||
},
|
||
)
|
||
|
||
return pipe_graph_rendering</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="lang_main.pipelines.predefined.build_tk_graph_rescaling_pipe"><code class="name flex">
|
||
<span>def <span class="ident">build_tk_graph_rescaling_pipe</span></span>(<span>save_result: bool, exit_point: lang_main.types.EntryPoints) ‑> <a title="lang_main.pipelines.base.Pipeline" href="base.html#lang_main.pipelines.base.Pipeline">Pipeline</a></span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def build_tk_graph_rescaling_pipe(
|
||
save_result: bool,
|
||
exit_point: EntryPoints,
|
||
) -> Pipeline:
|
||
pipe_graph_rescaling = Pipeline(name='Graph_Rescaling', working_dir=SAVE_PATH_FOLDER)
|
||
pipe_graph_rescaling.add(
|
||
graphs.pipe_rescale_graph_edge_weights,
|
||
)
|
||
pipe_graph_rescaling.add(
|
||
graphs.pipe_add_graph_metrics,
|
||
save_result=save_result,
|
||
filename=exit_point,
|
||
)
|
||
|
||
return pipe_graph_rescaling</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
</dl>
|
||
</section>
|
||
<section>
|
||
</section>
|
||
</article>
|
||
<nav id="sidebar">
|
||
<div class="toc">
|
||
<ul></ul>
|
||
</div>
|
||
<ul id="index">
|
||
<li><h3>Super-module</h3>
|
||
<ul>
|
||
<li><code><a title="lang_main.pipelines" href="index.html">lang_main.pipelines</a></code></li>
|
||
</ul>
|
||
</li>
|
||
<li><h3><a href="#header-functions">Functions</a></h3>
|
||
<ul class="">
|
||
<li><code><a title="lang_main.pipelines.predefined.build_base_target_feature_pipe" href="#lang_main.pipelines.predefined.build_base_target_feature_pipe">build_base_target_feature_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_merge_duplicates_pipe" href="#lang_main.pipelines.predefined.build_merge_duplicates_pipe">build_merge_duplicates_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_timeline_pipe" href="#lang_main.pipelines.predefined.build_timeline_pipe">build_timeline_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_tk_graph_pipe" href="#lang_main.pipelines.predefined.build_tk_graph_pipe">build_tk_graph_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_tk_graph_post_pipe" href="#lang_main.pipelines.predefined.build_tk_graph_post_pipe">build_tk_graph_post_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_tk_graph_render_pipe" href="#lang_main.pipelines.predefined.build_tk_graph_render_pipe">build_tk_graph_render_pipe</a></code></li>
|
||
<li><code><a title="lang_main.pipelines.predefined.build_tk_graph_rescaling_pipe" href="#lang_main.pipelines.predefined.build_tk_graph_rescaling_pipe">build_tk_graph_rescaling_pipe</a></code></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</nav>
|
||
</main>
|
||
<footer id="footer">
|
||
<p>Generated by <a href="https://pdoc3.github.io/pdoc" title="pdoc: Python API documentation generator"><cite>pdoc</cite> 0.11.5</a>.</p>
|
||
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|
||
</body>
|
||
</html>
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