reading fucking cells

econ/commoditys/commoditys.py

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+import os
+import yaml
+
+
+# create an empty dictionary to store the demand tags
+demand_tags = {} # demand tags with demands
+world_tags = {} # available resources tags with resources available
+commoditys = {} # commoditys by name
+productions = {} # list of production rules by commodity name
+productions_uses = {} # list of productions that are a key commodity 
+data={}
+def search_yaml_files(directory = "db"):
+    """
+    Load all tags from the db
+    """
+    # iterate through the YAML files in the directory
+    for filename in os.listdir(directory):
+        filepath = os.path.join(directory, filename)
+        if os.path.isdir(filepath):
+            search_yaml_files(filepath)
+        elif filename.endswith(".yml"):
+            # open and read the YAML file
+            with open(filepath, 'r') as file:
+                data = yaml.safe_load(file)
+                # check the kind of tag
+                if data['kind'] == "world":
+                    for tag in data['spec']:
+                        world_tags[tag['name']] = tag['res']
+                elif data['kind'] == "demand":
+                    for tag in data['spec']:
+                        demand_tags[tag['name']] = tag['res']
+                elif data['kind'] == "commodity":
+                    for comm in data['spec']:
+                        commoditys[comm['name']] = comm
+                elif data['kind'] == "production":
+                    for comm in data['spec']:
+                        if comm['name'] not in productions:
+                            productions[comm['name']]=[]
+                        productions[comm['name']].append(comm)
+                        for comp in comm["prod"]:
+                            k=list(comp.keys())[0]
+                            if k not in productions_uses:
+                                productions_uses[k]=[]
+                            productions_uses[k].append(comm)
+
+