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| 1 | +# Databricks notebook source |
| 2 | +# MAGIC %md # 837i and 837p |
| 3 | + |
| 4 | +# COMMAND ---------- |
| 5 | + |
| 6 | +# DBTITLE 1,Install package |
| 7 | +# MAGIC %pip install git+https://github.com/databricks-industry-solutions/x12-edi-parser.git |
| 8 | + |
| 9 | +# COMMAND ---------- |
| 10 | + |
| 11 | +# DBTITLE 1,Read in sample 837 data |
| 12 | +from databricksx12 import * |
| 13 | +from databricksx12.hls import * |
| 14 | +import json, os |
| 15 | +from pyspark.sql.functions import input_file_name |
| 16 | + |
| 17 | +#hm manages the parsing of different formats |
| 18 | +hm = HealthcareManager() |
| 19 | +df = spark.read.text("file:///" + os.getcwd() + "/sampledata/837/*txt", wholetext = True) |
| 20 | + |
| 21 | +rdd = ( |
| 22 | + df.withColumn("filename", input_file_name()).rdd |
| 23 | + .map(lambda row: (row.filename, EDI(row.value))) |
| 24 | + .map(lambda edi: hm.flatten(edi[1], filename = edi[0])) |
| 25 | + .flatMap(lambda x: x) |
| 26 | +) |
| 27 | + |
| 28 | +claims_rdd = ( |
| 29 | +rdd.repartition(4) |
| 30 | + .map(lambda x: hm.flatten_to_json(x)) |
| 31 | + .map(lambda x: json.dumps(x)) |
| 32 | +) |
| 33 | +claims = spark.read.json(claims_rdd) |
| 34 | + |
| 35 | +# COMMAND ---------- |
| 36 | + |
| 37 | +# DBTITLE 1,Save as a view |
| 38 | +claims.createOrReplaceTempView("stg_claims") |
| 39 | + |
| 40 | +# COMMAND ---------- |
| 41 | + |
| 42 | +# MAGIC %sql |
| 43 | +# MAGIC select * from stg_claims |
| 44 | + |
| 45 | +# COMMAND ---------- |
| 46 | + |
| 47 | +# DBTITLE 1,Create Claim Header |
| 48 | +# MAGIC %sql |
| 49 | +# MAGIC drop table if exists claim_header; |
| 50 | +# MAGIC create table claim_header as |
| 51 | +# MAGIC select * except(claim_lines) |
| 52 | +# MAGIC from stg_claims |
| 53 | +# MAGIC ; |
| 54 | +# MAGIC |
| 55 | +# MAGIC SELECT * FROM claim_header |
| 56 | + |
| 57 | +# COMMAND ---------- |
| 58 | + |
| 59 | +# DBTITLE 1,Create Claim Line |
| 60 | +# MAGIC %sql |
| 61 | +# MAGIC drop table if exists claim_line; |
| 62 | +# MAGIC create table claim_line as |
| 63 | +# MAGIC select * except(claim_header, claim_lines) |
| 64 | +# MAGIC from ( |
| 65 | +# MAGIC select *, explode(claim_lines) as claim_line |
| 66 | +# MAGIC from stg_claims |
| 67 | +# MAGIC ) |
| 68 | +# MAGIC ; |
| 69 | +# MAGIC |
| 70 | +# MAGIC SELECT * FROM claim_line |
| 71 | + |
| 72 | +# COMMAND ---------- |
| 73 | + |
| 74 | +# MAGIC %md # 835 |
| 75 | + |
| 76 | +# COMMAND ---------- |
| 77 | + |
| 78 | +# DBTITLE 1,Read in sample 835 data |
| 79 | +from databricksx12 import * |
| 80 | +from databricksx12.hls import * |
| 81 | +import json, os |
| 82 | +from pyspark.sql.functions import input_file_name |
| 83 | + |
| 84 | +hm = HealthcareManager() |
| 85 | +df = spark.read.text(df = spark.read.text("file:///" + os.getcwd() + "/sampledata/835/*txt", wholetext = True) |
| 86 | + |
| 87 | + |
| 88 | +rdd = ( |
| 89 | +df.withColumn("filename", input_file_name()).rdd |
| 90 | + .map(lambda row: (row.filename, EDI(row.value, strict_transactions=False))) #strict_transactions = False ignores if SE01 is an incorrect value (shoudld be set to number of segments in transaction) |
| 91 | + .map(lambda edi: hm.flatten(edi[1], filename = edi[0])) |
| 92 | + .flatMap(lambda x: x) |
| 93 | +) |
| 94 | + |
| 95 | +claims_rdd = ( |
| 96 | + rdd.repartition(4) |
| 97 | + .map(lambda x: hm.flatten_to_json(x)) |
| 98 | + .map(lambda x: json.dumps(x)) |
| 99 | +) |
| 100 | + |
| 101 | +claims = spark.read.json(claims_rdd) |
| 102 | + |
| 103 | +# COMMAND ---------- |
| 104 | + |
| 105 | +# DBTITLE 1,Save as a view |
| 106 | +claims.createOrReplaceTempView("stg_remittance") |
| 107 | + |
| 108 | +# COMMAND ---------- |
| 109 | + |
| 110 | +# DBTITLE 1,Create Remittance |
| 111 | +# MAGIC %sql |
| 112 | +# MAGIC drop table if exists remittance; |
| 113 | +# MAGIC CREATE TABLE remittance |
| 114 | +# MAGIC as |
| 115 | +# MAGIC select * |
| 116 | +# MAGIC from stg_remittance |
| 117 | +# MAGIC ; |
| 118 | +# MAGIC |
| 119 | +# MAGIC SELECT * FROM remittance; |
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