Conditions | 2 |
Total Lines | 90 |
Code Lines | 39 |
Lines | 0 |
Ratio | 0 % |
Changes | 0 |
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
1 | """Module containing functions to insert gas abroad |
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18 | def insert_generators(gen, scn_name): |
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19 | """Insert gas generators for foreign countries in database |
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20 | |||
21 | This function inserts the gas generators for foreign countries |
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22 | with the following steps: |
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23 | * Clean the database |
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24 | * Receive the gas production capacities per foreign node |
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25 | * For eGon2035, put them in the righ format |
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26 | * Add missing columns (generator_id and carrier) |
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27 | * Insert the table into the database |
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28 | |||
29 | Parameters |
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30 | ---------- |
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31 | gen : pandas.DataFrame |
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32 | Gas production capacities per foreign node |
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33 | scn_name : str |
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34 | Name of the scenario |
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35 | |||
36 | Returns |
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37 | ------- |
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38 | None |
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39 | |||
40 | """ |
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41 | carrier = "CH4" |
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42 | sources = config.datasets()["gas_neighbours"]["sources"] |
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43 | targets = config.datasets()["gas_neighbours"]["targets"] |
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44 | |||
45 | # Delete existing data |
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46 | db.execute_sql( |
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47 | f""" |
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48 | DELETE FROM |
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49 | {targets['generators']['schema']}.{targets['generators']['table']} |
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50 | WHERE bus IN ( |
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51 | SELECT bus_id FROM |
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52 | {sources['buses']['schema']}.{sources['buses']['table']} |
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53 | WHERE country != 'DE' |
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54 | AND scn_name = '{scn_name}') |
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55 | AND scn_name = '{scn_name}' |
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56 | AND carrier = '{carrier}'; |
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57 | """ |
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58 | ) |
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59 | |||
60 | if scn_name == "eGon2035": |
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61 | map_buses = get_map_buses() |
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62 | scn_params = get_sector_parameters("gas", scn_name) |
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63 | |||
64 | # Set bus_id |
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65 | gen.loc[ |
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66 | gen[gen["index"].isin(map_buses.keys())].index, "index" |
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67 | ] = gen.loc[ |
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68 | gen[gen["index"].isin(map_buses.keys())].index, "index" |
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69 | ].map( |
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70 | map_buses |
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71 | ) |
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72 | gen.loc[:, "bus"] = ( |
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73 | get_foreign_gas_bus_id().loc[gen.loc[:, "index"]].values |
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74 | ) |
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75 | |||
76 | gen["p_nom"] = gen["cap_2035"] |
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77 | gen["marginal_cost"] = ( |
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78 | gen["share_LNG_2035"] * scn_params["marginal_cost"]["CH4"] * 1.3 |
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79 | + gen["share_conv_pipe_2035"] * scn_params["marginal_cost"]["CH4"] |
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80 | + gen["share_bio_2035"] * scn_params["marginal_cost"]["biogas"] |
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81 | ) |
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82 | gen["scn_name"] = scn_name |
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83 | |||
84 | # Remove useless columns |
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85 | gen = gen.drop( |
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86 | columns=[ |
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87 | "index", |
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88 | "share_LNG_2035", |
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89 | "share_conv_pipe_2035", |
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90 | "share_bio_2035", |
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91 | "cap_2035", |
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92 | ] |
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93 | ) |
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94 | |||
95 | # Add missing columns |
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96 | new_id = db.next_etrago_id("generator") |
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97 | gen["generator_id"] = range(new_id, new_id + len(gen)) |
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98 | |||
99 | gen["carrier"] = carrier |
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100 | |||
101 | # Insert data to db |
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102 | gen.to_sql( |
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103 | targets["generators"]["table"], |
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104 | db.engine(), |
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105 | schema=targets["generators"]["schema"], |
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106 | index=False, |
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107 | if_exists="append", |
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108 | ) |
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288 |