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lixas avatar lixas commented on August 17, 2024

Hello @shanevanj

I have managed to "hack-fix" solution, so search by query would work.
To search for data by column and value use
db_table.find({"name" : "bob"}) for first occurrence and
db_table.query({"name" : "bob"}) for all occurrences

Edit __return_query method to following:
found = False moved to another location and else's commented out

    def __return_query(self, search_type, queries = None):
        """
        Helper function to process a query and return the result.
        """
        if queries:
            queries = self.__scrub_data(queries)
        result = []
        location = os.listdir(self.path)
        #Remove non-data files from our list of dirs.
        location = [element for element in location if 'data' in element]
        #Sort as integers so we get them in the right order.
        location = sorted(location, key=lambda x: int(x.split('.')[0].split('_')[1]), reverse = True)
        found = False
        for f in location:
            with open(self.path + '/' + f, 'r') as data:
                for line in data:
                    #Make sure the line isn't blank (ex. if it was deleted).
                    if line != '\n':
                        found = False
                        current_data = json.loads(line)
                        for query in queries:
                            if current_data['data'][query] == queries[query]:
                                found = True
                            # else:
                            #     found = False
                            #     break
                        if found:
                            if search_type == 'find':
                                return current_data['data']
                            elif search_type == 'query':
                                result.append(current_data)
                    # else:
                    #     break
        if result:
            return result
        else:
            return None

This solution work good on my computer python
But i'm not happy with a performance on uC (esp32) of inserting data, I'm not sure will it be usable on uC

from micropydatabase.

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